<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0212-1611</journal-id>
<journal-title><![CDATA[Nutrición Hospitalaria]]></journal-title>
<abbrev-journal-title><![CDATA[Nutr. Hosp.]]></abbrev-journal-title>
<issn>0212-1611</issn>
<publisher>
<publisher-name><![CDATA[Grupo Arán]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0212-16112011000400011</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Dietary intake and oxidative stress in breast cancer: before and after treatments]]></article-title>
<article-title xml:lang="es"><![CDATA[Ingestión dietética y estrés oxidativo en cáncer de mama: antes y después del tratamiento]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rockenbach]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
<xref ref-type="aff" rid="A02"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Di Pietro]]></surname>
<given-names><![CDATA[P. F.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ambrosi]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Boaventura]]></surname>
<given-names><![CDATA[B. C. B.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vieira]]></surname>
<given-names><![CDATA[F. G. K.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Crippa]]></surname>
<given-names><![CDATA[C. G.]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Da Silva]]></surname>
<given-names><![CDATA[E. L.]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fausto]]></surname>
<given-names><![CDATA[M.ª A.]]></given-names>
</name>
<xref ref-type="aff" rid="A05"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Federal University of Santa Catarina Nutrition Pos-Graduate Program ]]></institution>
<addr-line><![CDATA[ Santa Catarina]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Federal University of Rio Grande do Sul Epidemiology Pos-Graduate Program ]]></institution>
<addr-line><![CDATA[ Rio Grande do Sul]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="A03">
<institution><![CDATA[,Federal University of Santa Catarina Medicine Department ]]></institution>
<addr-line><![CDATA[ Santa Catarina]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="A04">
<institution><![CDATA[,Federal University of Santa Catarina Department of Clinical Analysis ]]></institution>
<addr-line><![CDATA[ Santa Catarina]]></addr-line>
<country>Brazil</country>
</aff>
<aff id="A05">
<institution><![CDATA[,Federal University of Ouro Preto Food Department ]]></institution>
<addr-line><![CDATA[Ouro Preto ]]></addr-line>
<country>Brazil</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2011</year>
</pub-date>
<volume>26</volume>
<numero>4</numero>
<fpage>737</fpage>
<lpage>744</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_arttext&amp;pid=S0212-16112011000400011&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_abstract&amp;pid=S0212-16112011000400011&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_pdf&amp;pid=S0212-16112011000400011&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Objective: The aim of this study was to investigate changes in dietary intake, anthropometric parameters and markers of oxidative stress in 40 women who underwent surgery, chemotherapy or radiation therapy for breast cancer. Methods: Pretreatment and post-treatment measurements included data collected through a food frequency questionnaire, weight and height to calculate the body mass index (BMI) and oxidative stress markers assessed from blood reduced glutathione (GSH), serum antioxidant capacity (AC), plasma thiobarbituric acid reactive substances (TBARS), serum lipid hydroperoxides (LH) and plasma carbonyls. Differences were compared using paired Student's t-test or paired Wilcoxon's test. Results: A significant increase (P < 0.05) in the intake of the food groups: meat and eggs, dairy products, beans, oils and fats, as well as food from the subgroups: red meat, milk and other dairy products rich in fat, fruit rich in vitamin C and vegetable fats was found after treatments. There was a significant increase in body weight (P < 0.05), BMI (P < 0.05), levels of TBARS (P < 0.0001), LH (P < 0.005) and carbonyls (P < 0.0001) and a significant decrease of levels of AC (P < 0.005) and GSH (P < 0.0001). Conclusion: Breast cancer diagnosis and treatments were associated with dietary intake changes and increased body weight, BMI and oxidative stress. These potential changes have important implications for preventive nutrition counseling.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Objetivo: El propósito de este estudio fue investigar los cambios en la ingesta dietética, los parámetros antropométricos y los marcadores del estrés oxidativo en 40 mujeres sometidas a cirugía, quimioterapia o radioterapia por cáncer de mama. Métodos: Los datos recogidos antes y después del tratamiento fueron un cuestionario de frecuencia de consumo de alimentos, el peso y la talla para calcular el índice de masa corporal (IMC) y los marcadores de estrés oxidativo evaluados mediante el glutatión reducido (GSH) en sangre, la capacidad antioxidante sérica (CA), las sustancias reactivas del ácido tiobarbitúrico en el plasma (SRAT), los hidroperóxidos lipídicos (HPL) séricos y los carbonilos plasmáticos. Se compararon las diferencias usando la prueba t de Student o la prueba pareada de Wilcoxon. Resultados: Después de los tratamientos se halló un aumento significativo (P < 0,05) en el consumo de los grupos de alimentos: carne y huevos, lácteos, legumbres, aceites y grasas, así como de los subgrupos: carnes rojas, leche y otros lácteos ricos en grasas, fruta rica en vitamina C y grasas vegetales. Hubo un aumento significativo en el peso corporal (P < 0,05), el IMC (P < 0,05), las concentraciones de SRAT (P < 0,0001), HPL (P < 0,005) y carbonilos (P < 0,0001) y un descenso significativo de la CA (P < 0,005) y de GSH (P < 0,0001). Conclusión: El diagnóstico de cáncer de mama y sus tratamientos se asociaron con cambios en la ingesta dietética y un aumento del peso corporal, el IMC y el estrés oxidativo. Estos cambios potenciales tienen implicaciones importantes para el consejo sobre nutrición preventiva.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Breast cancer]]></kwd>
<kwd lng="en"><![CDATA[Dietary intake]]></kwd>
<kwd lng="en"><![CDATA[Anthropometric parameters]]></kwd>
<kwd lng="en"><![CDATA[Oxidative stress]]></kwd>
<kwd lng="en"><![CDATA[Treatment]]></kwd>
<kwd lng="es"><![CDATA[Cáncer de mama]]></kwd>
<kwd lng="es"><![CDATA[Ingesta dietética]]></kwd>
<kwd lng="es"><![CDATA[Parámetros antropométricos]]></kwd>
<kwd lng="es"><![CDATA[Estrés oxidativo]]></kwd>
<kwd lng="es"><![CDATA[Tratamiento]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <p><font face="Verdana" size="2"><a name="top"></a><b>ORIGINAL</b></font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="4"><b>Dietary intake and oxidative stress in breast cancer: before and after treatments</b></font></p>     <p><font face="Verdana" size="4"><b>Ingestión dietética y estrés oxidativo en cáncer de mama: antes y después del tratamiento</b></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>G. Rockenbach<sup>1,2</sup>, P. F. Di Pietro<sup>1</sup>, C. Ambrosi<sup>1</sup>, B. C. B. Boaventura<sup>1</sup>, F. G. K. Vieira<sup>1</sup>, C. G. Crippa<sup>3</sup>, E. L. Da Silva<sup>1,4</sup> and M.<sup>a</sup> A. Fausto<sup>5</sup></span></b></font></p>     <p><font face="Verdana" size="2"><sup>1</sup>Nutrition Pos-Graduate Program. Federal University of Santa Catarina. Brazil.    <br><sup>2</sup>Epidemiology Pos-Graduate Program. Federal University of Rio Grande do Sul. Brazil.    <br><sup>3</sup>Medicine Department. Federal University of Santa Catarina. Brazil.    ]]></body>
<body><![CDATA[<br><sup>4</sup>Department of Clinical Analysis. Federal University of Santa Catarina. Brazil.    <br><sup>5</sup>Food Department. Federal University of Ouro Preto. Brazil.</font></p>     <p><font face="Verdana" size="2"><a href="#back">Correspondence</a></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p> <hr size="1">     <p><font face="Verdana" size="2"><b>ABSTRACT</b></font></p>     <p><font face="Verdana" size="2"><b>Objective:</b> The aim of this study was to investigate changes in dietary intake, anthropometric parameters and markers of oxidative stress in 40 women who underwent surgery, chemotherapy or radiation therapy for breast cancer.    <br><b>Methods:</b> Pretreatment and post-treatment measurements included data collected through a food frequency questionnaire, weight and height to calculate the body mass index (BMI) and oxidative stress markers assessed from blood reduced glutathione (GSH), serum antioxidant capacity (AC), plasma thiobarbituric acid reactive substances (TBARS), serum lipid hydroperoxides (LH) and plasma carbonyls. Differences were compared using paired Student's t-test or paired Wilcoxon's test.    <br><b>Results:</b> A significant increase (P &lt; 0.05) in the intake of the food groups: meat and eggs, dairy products, beans, oils and fats, as well as food from the subgroups: red meat, milk and other dairy products rich in fat, fruit rich in vitamin C and vegetable fats was found after treatments. There was a significant increase in body weight (P &lt; 0.05), BMI (P &lt; 0.05), levels of TBARS (P &lt; 0.0001), LH (P &lt; 0.005) and carbonyls (P &lt; 0.0001) and a significant decrease of levels of AC (P &lt; 0.005) and GSH (P &lt; 0.0001).    <br><b>Conclusion:</b> Breast cancer diagnosis and treatments were associated with dietary intake changes and increased body weight, BMI and oxidative stress. These potential changes have important implications for preventive nutrition counseling.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2"><b>Key words:</b> Breast cancer. Dietary intake. Anthropometric parameters. Oxidative stress. Treatment.</font></p> <hr size="1">     <p><font face="Verdana" size="2"><b>RESUMEN</b></font></p>     <p><font face="Verdana" size="2"><b>Objetivo:</b> El propósito de este estudio fue investigar los cambios en la ingesta dietética, los parámetros antropométricos y los marcadores del estrés oxidativo en 40 mujeres sometidas a cirugía, quimioterapia o radioterapia por cáncer de mama.    <br><b>Métodos:</b> Los datos recogidos antes y después del tratamiento fueron un cuestionario de frecuencia de consumo de alimentos, el peso y la talla para calcular el índice de masa corporal (IMC) y los marcadores de estrés oxidativo evaluados mediante el glutatión reducido (GSH) en sangre, la capacidad antioxidante sérica (CA), las sustancias reactivas del ácido tiobarbitúrico en el plasma (SRAT), los hidroperóxidos lipídicos (HPL) séricos y los carbonilos plasmáticos. Se compararon las diferencias usando la prueba t de Student o la prueba pareada de Wilcoxon.    <br><b>Resultados:</b> Después de los tratamientos se halló un aumento significativo (P &lt; 0,05) en el consumo de los grupos de alimentos: carne y huevos, lácteos, legumbres, aceites y grasas, así como de los subgrupos: carnes rojas, leche y otros lácteos ricos en grasas, fruta rica en vitamina C y grasas vegetales. Hubo un aumento significativo en el peso corporal (P &lt; 0,05), el IMC (P &lt; 0,05), las concentraciones de SRAT (P &lt; 0,0001), HPL (P &lt; 0,005) y carbonilos (P &lt; 0,0001) y un descenso significativo de la CA (P &lt; 0,005) y de GSH (P &lt; 0,0001).    <br><b>Conclusión:</b> El diagnóstico de cáncer de mama y sus tratamientos se asociaron con cambios en la ingesta dietética y un aumento del peso corporal, el IMC y el estrés oxidativo. Estos cambios potenciales tienen implicaciones importantes para el consejo sobre nutrición preventiva.</font></p>     <p><font face="Verdana" size="2"><b>Palabras clave:</b> Cáncer de mama. Ingesta dietética. Parámetros antropométricos. Estrés oxidativo. Tratamiento.</font></p> <hr size="1">     <p><font face="Verdana" size="2"><b>Abbreviations</b>    <br>AC: Antioxidant capacity.    <br>BMI: Body mass index.    ]]></body>
<body><![CDATA[<br>GSH: Reduced glutathione.    <br>LH: Lipid hydroperoxides.    <br>TBARS: Thiobarbituric acid reactive substances.    <br>FFQ: Food frequency questionnaire.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Introduction</b></font></p>     <p><font face="Verdana" size="2">Breast cancer is one of the most important public health problems due to its growing incidence and mortality rates. In all over the world, breast cancer is considered the most frequent type of cancer among women. Every year, breast cancer accounts for 22% of new cancers found in women. In Brazil, 49.240 new breast cancer cases were expected for 2010, with an estimated risk of 49 cases per 100.000 women. For the Santa Catarina State, in southern Brazil, 1.570 new breast cancer cases were expected for 2010, with an estimated risk of 50 cases per 100.000 women. In spite of its high incidence, breast cancer can be considered a disease with a good prognosis if an early diagnose and appropriate treatment are done. The estimated average survival after five years of breast cancer is approximately 61%.<sup>1</sup></font></p>     <p><font face="Verdana" size="2">Breast cancer is a disease with multiple etiological factors linked to genetic, environmental, social demographic, behavioral, psychological and hormonal factors.<sup>2-4</sup> Of the risk factors, nutritional factors can be associated to 30-40% of disease cases.<sup>5</sup> In the recent decades, researches has studied the relationship between nutritional and life style factors and the development and/or progression of breast cancer. Original studies and literature reviews were carried out to clarify which elements in the diet could play a protective or determining role in the disease<sup>5-9</sup>, as well as the mechanisms through which nutrients could be involved in the progression, recurrence or mortality from breast cancer.<sup>10-11</sup> Additionally, nutritional factors might be directly related to the generation of reactive oxygen species in the body, triggering oxidative stress, causing cell oxidative damage and therefore increasing the risk of disease.<sup>11-14</sup></font></p>     <p><font face="Verdana" size="2">Besides to enhance, at least partially, the progression of breast cancer, oxidative stress can also be involved in cancer treatment efficacy.<sup>15</sup> According to previous reports, chemotherapy and/or radiation therapy induced apoptosis by increasing the amount of reactive oxygen species in cancer cells.<sup>15-16</sup> However, excess production of reactive oxygen species can also damage healthy cells, therefore a diet rich in antioxidant may be important to minimize side effects resulted from oxidative damage caused by treatment<sup>15</sup>, in addition to reduce the probability of recurrence.<sup>17</sup></font></p>     <p><font face="Verdana" size="2">In addition, cancer treatment may have a direct effect on nutritional status<sup>18</sup>, dietary intake<sup>19</sup> and in the development of food aversion.<sup>19-20</sup></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">Therefore, the present study was conducted to investigate the possible changes in dietary intake, anthropometric parameters and oxidative stress markers promoted by breast cancer treatment in women living in the state of Santa Catarina, southern Brazil.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Subjects and methods</b></font></p>     <p><font face="Verdana" size="2"><i>Study characterization and design</i></font></p>     <p><font face="Verdana" size="2">This is a non-randomized clinical study conducted at the Carmela Dutra Maternity Hospital in Florianopolis City, Santa Catarina, southern Brazil, from October 2006 to June 2008. Clinical, anthropometric, social demographic, dietary intake data and oxidative stress markers were verified in a convenience sample of women with breast cancer in two phases: a) Baseline phase, conducted at the time of breast cancer diagnosis, before cancer treatment (surgery, radiation therapy and/or chemotherapy) and b) Post-treatment phase, after the end of the cancer treatment (considering a maximum period of 20 months).</font></p>     <p><font face="Verdana" size="2">Women with previous history of cancer and/or benign tumors without suspicion of malignancy, who had already undergone breast surgery, in addition to women who had already started some type of neoadjuvant cancer treatment were excluded from the study. Only women with breast cancer diagnosis confirmed by pathological examinations and living in the state of Santa Catarina were included in the baseline phase the study. Based on these criteria, 55 women were considered eligible to participate in the baseline phase. Out of these, six were excluded from the second phase of the study (post-treatment phase) because they were still under radiation therapy and/or chemotherapy after June 2008. Additionally, nine participants were lost to follow-up in the post-treatment phase for the following reasons: two women refused to return after the end of treatment and seven could not be found after four attempts to contact them by telephone. Therefore, a total of 40 women with breast cancer participated of the study.</font></p>     <p><font face="Verdana" size="2">All participants signed a free and informed consent form and the research was approved by the Ethics Committee of the Carmela Dutra Maternity Hospital and by the Ethics Committee on Research with Humans of the Federal University of Santa Catarina (protocol number 099/08).</font></p>     <p><font face="Verdana" size="2"><i>Clinical data</i></font></p>     <p><font face="Verdana" size="2">In order to obtain social demographic and clinical data, a questionnaire adapted from the study conducted by Di Pietro et al.<sup>21</sup> was administered in an interview. The questionnaire contained identification and clinical history information, social demographic and reproductive history questions. Disease's stage was evaluated from pathological examination results according to the Tumor-Node-Metastasis system.<sup>22</sup> Additionally, information about the type and duration of cancer treatment was collected in the second phase of the study.</font></p>     <p><font face="Verdana" size="2"><i>Anthropometric assessment</i></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">To measure body weight and height, a mechanical scale with a measuring rod (Filizola Industry S/A, Sao Paulo, Brazil), with a capacity for 150 kg and 100 g graduation, was used. Anthropometric measurements at the baseline and post-treatment phases were assessed according to the techniques recommended by the World Health Organization. Body weight and height measurements were used to calculate the body mass index (BMI).<sup>23</sup></font></p>     <p><font face="Verdana" size="2"><i>Dietary intake assessment</i></font></p>     <p><font face="Verdana" size="2">Habitual dietary intake information was collected in the two study phases by the administration of a food frequency questionnaire (FFQ) adapted from the Sichieri and Everhart validated questionnaire.<sup>24</sup> The questionnaire was administered by previously trained nutritionists or undergraduate nutrition students. To help participants identify and report the food intake amounts, were used pictures<sup>25</sup> and various sized household utensils (dishes, glasses, cups and spoons). The amounts of food reported as home measures were converted into their respective weights and volumes, in grams (g) or milliliters (mL), respectively, based on the works previously published by Pinheiro et al.<sup>26</sup> and Ben.<sup>27</sup> Additionally, home measurement conversions (g or mL) of fruit, doughnuts, lard, cream and yerba mate infusion were made by assessing volume and weighing measurements using the technique described by Griswold<sup>28</sup> at the Dietary Technique Laboratory at the Federal University of Santa Catarina. Seasonal foods such as fruits and vegetables had their estimated daily intake calculated considering the season. Dietary intake of all food items obtained by the FFQ use was classified and analyzed for eight food groups described in the Dietary Guide for the Brazilian Population: cereals; tubers and roots; meat and eggs; milk and other dairy products; fruits; beans; vegetables; oils and fats; sugars and sweets.<sup>29</sup> The amount of beverages (in mL) with or without alcohol that were not described in the Dietary Guide was also recorded. Additionally, to analyze information about the intake of more specific food, subgroups were created from the eight food groups that make up the Dietary Guide, such as pastry cereals; red meat; fish; poultry; processed meat; fatty meat; low-fat meat; milk and dairy products rich in fat; lean milk and dairy products; fruits rich in vitamin C; fruits rich in carotenoids; cruciferous vegetables; vegetables rich in carotenoids; vegetable fats; and animal fats.</font></p>     <p><font face="Verdana" size="2">All breast cancer patients did not received any dietary treatment and/or advice during the study; they only got guidance on healthy eating at the time of the interview in the baseline phase.</font></p>     <p><font face="Verdana" size="2"><i>Biochemical analysis</i></font></p>     <p><font face="Verdana" size="2">For the assessment of oxidative stress markers, blood samples (15 mL) were collected from participants through a puncture of the intermediate arm vein in tubes with or without EDTA to obtain plasma and serum, respectively, by centrifugation (1000 x g/10 min). A whole blood aliquot was used for immediate measurement of blood reduced glutathione (GSH), after red blood cell lyses and protein precipitation with 20% trichloroacetic acid.<sup>30</sup> Measurement of serum antioxidant capacity, thiobarbituric reactive substances in plasma, and serum lipid hydroperoxides levels were made immediately after sample collection, while plasma levels of carbonyls (a marker of plasma protein oxidation) was determined after sample stored at -70 <sup>o</sup>C for no longer than 30 days.</font></p>     <p><font face="Verdana" size="2">Serum antioxidant capacity was measured using the ferric reducing antioxidant potential (FRAP) assay, according to the technique proposed by Benzie and Strain.<sup>31</sup> Blood GSH concentration was assessed using the method proposed by Beutler et al.<sup>30</sup> Plasma lipid peroxidation was determined by detecting the substances that react with thiobarbituric acid (TBARS), particularly malondialdehyde, based on the method described by Esterbauer and Cheeseman.<sup>32</sup> The lipid hydroperoxides (LH) present in the serum were quantified by the ferrous oxidation method and complex formation with xylenol orange, as described by Nourooz Zadeh et al.<sup>33</sup> Carbonyls were measured following the method described by Levine et al.<sup>34</sup> All biochemical tests were made in duplicates.</font></p>     <p><font face="Verdana" size="2"><i>Statistical analysis</i></font></p>     <p><font face="Verdana" size="2">Collected data were organized in a double entry database for later statistical analysis with STATA 9.0 software, and in all cases the level of significance was established at 5%.</font></p>     <p><font face="Verdana" size="2">Continuous data were presented as median, mean and standard deviation and categorical data in the form of absolute and relative frequency.</font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">Normality of data distribution was assessed using the Shapiro-Wilk test. Variables with normal distribution were compared using the paired Student's t-test, while the data with non-parametric distribution were compared using the paired Wilcoxon's test.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Results</b></font></p>     <p><font face="Verdana" size="2">Average age of the participants in the beginning of the study was 51.5 &plusmn; 9.9 years (range of 35 to 77 years). Most women participating in the study were Caucasians (92.5%) and there was a predominance of married women (55.0%). The mean interval of time between the two assessments was 13.25 &plusmn; 2.92 months (7 to 20 months).</font></p>     <p><font face="Verdana" size="2">Clinical and therapeutic characteristics of the 40 women with breast cancer are showed in  <a href="#t1">table I</a>. There was a prevalence of women with invasive carcinoma (95.0%), stage I or II tumor (75.0%) without involvement of axillary lymph nodes (62.5%). Regarding the type of surgery performed, 52.5% of women underwent radical mastectomy, while 47.5% underwent partial mastectomy with sentinel lymph node biopsy or axillary lymphadenectomy. Out of the 40 participants studied, 32 (80.0%) reported hormone therapy and 27 out of those reported treatment with tamoxifen and five with aromatase inhibitor (anastrozole). In respect to therapies, radiation therapy alone was applied to nine (22.5%) participants, chemotherapy alone was used by twelve (30.0%) women and a combination of both chemotherapy and radiation therapy was used by fifteen (37.5%) women. Four (10%) women did not received either chemotherapy or radiation therapy. Additionally, three (7.5%) patients reported therapy with monoclonal antibodies (trastuzumab).</font></p>     <p align="center"><a name="t1"> <img border="0" src="/img/revistas/nh/v26n4/11_original_06_t1.gif" width="322" height="656"></a></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2">The anthropometric parameters are shown in <a target="_blank" href="/img/revistas/nh/v26n4/11_original_06_t2.gif">table II</a>. A significant increase in the mean body weight (P &lt; 0.005) was found at the end of cancer treatments, which had a direct effect on the mean BMI value (P &lt; 0.005) (<a target="_blank" href="/img/revistas/nh/v26n4/11_original_06_t2.gif">table II</a>).</font></p>     <p><font face="Verdana" size="2">Regarding dietary intake, a significant increase in the intake of the following food groups: meat and eggs (P = 0.02), milk and dairy products (P = 0.01), fruits (P &lt; 0.005), beans (P = 0.04) and oils and fats (P = 0.01), as well as in the following subgroups: read meat (P = 0.03), milk and dairy products rich in fat (P = 0.03), fruits rich in vitamin C (P = 0.01) and vegetable fats (P = 0.02) was observed after treatment (<a target="_blank" href="/img/revistas/nh/v26n4/11_original_06_t3.gif">table III</a>). Results for the other food groups and subgroups studied were not statistically significant (data not shown).</font></p>     <p><font face="Verdana" size="2"><a target="_blank" href="/img/revistas/nh/v26n4/11_original_06_t4.gif">Table IV</a> shows the results for biochemical markers of oxidative stress in the baseline and post-treatment phases. There was a significant decrease in the serum antioxidant capacity (P &lt; 0.005) and GSH levels (P &lt; 0.0001), whereas TBARS (P &lt; 0.0001), LH (P &lt; 0.005) and carbonyls (P &lt; 0.0001) levels increased significantly after treatments.</font></p>     ]]></body>
<body><![CDATA[<p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Discussion</b></font></p>     <p><font face="Verdana" size="2">During cancer treatment, agents used in the chemotherapy and radiation therapy can lead to the generation of reactive oxygen species which may damage healthy cells.<sup>15,16</sup> Excess production of reactive oxygen species and the resulting increase in oxidative stress in the body of cancer patients may affect treatment response and contribute to tumor recurrence.<sup>35</sup> Therefore, the importance of a diet rich in antioxidant food should be emphasized, not only as a way to protect against disease development and progression, but also to prevent breast cancer recurrence during and after treatment.<sup>15,17</sup></font></p>     <p><font face="Verdana" size="2">In this study we clearly showed that surgery, chemotherapy and/or radiation therapy increased the levels of oxidative stress biomarkers in women with breast cancer, which could be seen in the significant decrease of antioxidant defense markers (AC and GSH) and increased concentrations of lipid (TBARS and LH) and protein (carbonyls) oxidation markers after treatment. Similar results have been reported by other authors who found a reduction in total plasma antioxidant capacity<sup>36</sup> and increased lipid oxidation<sup>36,37</sup> in cancer patients after chemotherapy and/or radiation therapy.</font></p>     <p><font face="Verdana" size="2">The results of this study have also shown several changes in the dietary intake from the time of disease diagnosis to the end of cancer treatment, particularly an increase in the intake of meats and fats, fruits and beans. The increased consumption of meat and fat by the participants of this study is not in agreement with data previously reported, where breast cancer patients had a significant decrease in the intake of fats<sup>38,39</sup>, meats in general<sup>38</sup> and red meat in particular<sup>39</sup> after disease diagnosis and/or during cancer treatment. On the other hand, the increased fruit intake by the participants is in agreement with results previously reported by Maskarinec et al.<sup>38</sup>, Salminen et al.<sup>39</sup> and Thomson et al.<sup>40</sup> According to evidences in the literature, some women diagnosed with and treated for breast cancer start a healthier diet to improve their health status, prevent disease recurrence or the emergence of new tumors and other related diseases.<sup>38,39</sup></font></p>     <p><font face="Verdana" size="2">A favorable finding in this study was that the increased intake of fruits and beans is in agreement with the recommendations described in the global perspective report on food, nutrition and cancer prevention produced by the World Cancer Research Fund and the American Institute for Cancer Research.<sup>41</sup> According to this document, the increased consumption of fruits, non-starchy vegetables, non-processed grains and beans contributes to the prevention of several types of cancer and these recommendations should be also followed by cancer survivors, both during active treatment, when treatment is directed to the tumor in order to prolong patient's survival, and after treatment completion.</font></p>     <p><font face="Verdana" size="2">The significant increase in the dietary intake of fruit found in this study, particularly fruits rich in vitamin C, can also help the body's defense mechanism against the damage caused by reactive oxygen species, as previously shown in breast cancer survivors. A diet rich in carotenoids, or fruits in general, has decreased oxidative stress and/or improved prognosis in women previously treated for breast cancer.<sup>11,17</sup></font></p>     <p><font face="Verdana" size="2">However, the increased intake of meats and fats by the participants of this study is contrary to the recommendations of reports on the global perspective on food, nutrition and cancer prevention.<sup>41</sup> Dietary fat is one of the most investigated nutrients in relation to breast cancer in epidemiological, experimental and clinical studies and several studies have already proven the positive association between high fat intake and carcinogenesis.<sup>12,14</sup> Additionally, it has been suggested that dietary fat can stimulate lipid peroxidation, thus favoring oxidative stress in cancer patients.<sup>12,14</sup> Some studies have also shown that reduced fat intake is associated to lower recurrence rates and longer survival after breast cancer diagnosis.<sup>10</sup> Regarding excess meat intake, particularly red meat, some studies have suggested that these food items represent a risk factor for breast cancer.<sup>21</sup> It should also be mentioned that the intake of red meat by the participants of this study was above the recommended level of 500 g per week. According to the World Cancer Research Fund and the American Institute for Cancer Research, the intake of red meat and processed meat should be limited as a minimum in order to prevent primary and recurrent cancer.<sup>41</sup></font></p>     <p><font face="Verdana" size="2">The present study showed a significant increase in the average intake of milk and dairy products rich in fat by the participants during treatment. However, studies that associated the intake of dairy products with disease have shown contradictory results.<sup>42</sup> Regardless, it seems desirable to avoid the intake of dairy products rich in fat, such as whole milk, some types of cheese and cream during and after treatment, since food rich in saturated fat can, generally speaking, favor disease recurrence.<sup>10</sup></font></p>     <p><font face="Verdana" size="2">Here, we showed a significant enhancement of weight after treatment, resulting in a mean BMI of 28.67 kg/m<sup>2</sup>, which corresponds to an average increase of 2.54 kg in body weight after cancer treatment. Similar results were found in the studies by Del Rio et al.<sup>18</sup> and Ingram and Brown<sup>43</sup>. According to Demark-Wahnefried et al.<sup>44</sup>, weight gain generally ranges from 2.5 to 6.2 kg in the first year after breast cancer diagnosis, particularly in women who undergo chemotherapy as part of their treatment. Although the relationship between excess body weight and the development of breast cancer has not been fully clarified, it should be mentioned that there is evidence showing that weight gain after disease diagnosis can affect survival and recurrence in women with breast cancer.<sup>11</sup> Additionally, the average BMI of the participants was not according to the official recommendations of the global perspective report on food, nutrition and cancer prevention in any of the study phases, since the BMI recommendation for breast cancer prevention ranges from 18.5 to 24.9 kg/m<sup>2</sup>, with a median from 21 to 23 kg/m<sup>2</sup>.<sup>41</sup></font></p>     ]]></body>
<body><![CDATA[<p><font face="Verdana" size="2">The significant increased in body weight and BMI, as well as the intake of meat and food rich in fat and the increase in oxidative stress markers in these women deserve special attention, since these nutritional and clinical aspects are known risk factors for disease recurrence in addition to the already existing risks linked to treatment procedures performed after disease diagnosis. Based on these data, the importance of nutritional follow-up during and after treatment becomes evident in order to minimize the probability of recurrence or the development of other types of cancer in these survivors. Therefore, advice on a balanced diet rich in antioxidant nutrients that results in weight maintenance may affect positively cancer treatment effectiveness in addition to diminish oxidative and physiological damage caused by cancer treatment.</font></p>     <p><font face="Verdana" size="2">Finally, some methodological limitations should be considered when interpreting the results of this study. The FFQ used for dietary data collection is considered to be an instrument that estimates previous usual intake in population groups. However, the accurate estimate of usual dietary intake through this instrument is difficult because it relies on the memory of the interviewee to properly estimate intake frequency and the size of food portions.<sup>45</sup></font></p>     <p><font face="Verdana" size="2">Although some variation in the estimative of dietary intake needs to be taken into account when evaluating our study, it should be emphasized that care was taken to minimize the potential measurement errors that could result from the instruments of measure, since visual resources were used in order to facilitate the reporting of the dietary intake amounts. Additionally, the FFQ administration, anthropometric assessment and biochemical tests were performed by professionals and nutrition students who were previously trained in data collection methods and instruments. This enhances the reliability of the research and enables the comparison between the assessments of the studied population.</font></p>     <p><font face="Verdana" size="2">A second limitation refers to the fact the differences in disease stages and the resulting exposure to different treatment protocols did not allow for the identification of the effects of different treatments in relation to biochemical and nutritional results. Additionally, the relationship between changes in dietary intake and changes in oxidative stress in each type of treatment or protocol could not be determined, particularly due to the small sample size. Therefore, new studies should be conducted with larger number of participants in order to confirm these results and get more solid evidence of the effect of different treatment types on dietary intake, anthropometric parameters and oxidative stress in women with breast cancer.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Conclusion</b></font></p>     <p><font face="Verdana" size="2">The results of this study showed that women undergoing breast cancer treatment, such as surgery, chemotherapy or radiation therapy, increased their intake of meats, fats, dairy products, fruits and beans, had increased body weight and BMI and increased levels of oxidative stress markers.</font></p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b>Acknowledgements</b></font></p>     <p><font face="Verdana" size="2">The authors would like to thank the Brazilian Federal Agency for Support and Evaluation of Graduate Education (CAPES/PROF), Foundation for the Support of Scientific and Technological Research of the State of Santa Catarina (FAPESC), Carmela Dutra Maternity Hospital, <i>AP Anatomía Patológica</i> Laboratory, Nutrition Pos-Graduate Program at the Federal University of Santa Catarina and the National Council for Scientific and Technological Development (CNPq) for the support given to this research.</font></p>     ]]></body>
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<body><![CDATA[<!-- ref --><p><font face="Verdana" size="2">45. Willet WC. Nutritional Epidemiology. New York: Oxford University; 1998.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=3607812&pid=S0212-1611201100040001100045&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --></font></p>     <p>&nbsp;</p>     <p>&nbsp;</p>     <p><font face="Verdana" size="2"><b><a name="back"></a><a href="#top"><img border="0" src="/img/revistas/nh/v26n4/seta.gif" width="15" height="17"></a>Correspondence:</b>    <br>Patricia Faria Di Pietro.    <br> Programa de Pós-Graduação em Nutrição.    <br>Centro de Ciências da Saúde.    <br> Universidade Federal de Santa Catarina.    <br> Campus Universitario. Trindade.    ]]></body>
<body><![CDATA[<br>Cep 88040-900 Florianopolis/SC - Brazil.    <br>E-mail:  <a href="mailto:fariadipietro@gmail.com">fariadipietro@gmail.com</a></font></p>     <p><font face="Verdana" size="2">Recibido: 18-X-2010.    <br>Aceptado: 7-XI-2010.</font></p>      ]]></body><back>
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