Moukal A, El-Farouqi A, Aghrouch M, EL-Bakraoui K, Zekhnini A, Izaabel E. Assessment of the Nutritional Profile of Women with Breast Cancer from the Agadir Region (South of Morocco). Biomed Pharmacol J 2021;14(4).
Manuscript received on :06-03-2021
Manuscript accepted on :23-08-2021
Published online on: 08-11-2021
Plagiarism Check: Yes
Reviewed by: Dr. Ahmed Salah
Second Review by: Dr. Yerbolat Iztleuov
Final Approval by: Dr. Fai Poon

How to Cite    |   Publication History
Views Views: (Visited 603 times, 1 visits today)   Downloads PDF Downloads: 213

Abdellah Moukal1 , Abdellah El-Farouqi2 , Mohamed Aghrouch2, Kamal EL-Bakraoui3 , Abderrahmane Zekhnini4 * and El-Hassan Izaabel1

1Laboratory of Cellular Biology and Molecular Genetics, Faculty of Sciences, 80 000 Agadir, Morocco

2Hassan II Regional Hospital Center, 80 000 Agadir, Morocco

3Regional Center of Oncology, 80 000 Agadir, Morocco

4Laboratory of Aquatic Systems, 80 000 Agadir, Morocco

Corresponding Author E-mail: a.zekhnini@uiz.ac.ma

DOI : https://dx.doi.org/10.13005/bpj/2294

Abstract

Background: Although the incidence of breast cancer and the resulting mortality are very high in Morocco, no study has been carried out on the role of the nutritional factors in the development of BC. Objective: The objective of this study was to assess the nutritional profile of women with BC in southern Morocco Methods: The study was conducted with 91 women with breast cancer. Face-to-face semi-structured interviews were used for the assessment of the nutritional profile and the collection of socio-economic data. Biometric measures were carried out in parallel. Results: The results showed that postmenopausal women had a significantly higher mean weight and Body Mass Index than non-menopausal women (p < 0.015). The majority of patients (79%) had energy intakes above recommendations. The proportion of lipids was excessive in 46% of cases. Intakes of saturated fatty acids were high in 14% of patients. But those of unsaturated fatty acids were high in over 50% of patients. About 58 % had a very high intake of fast sugars. Cholesterol input was high in 40% of cases. Vitamins A, E and D were provided in small amounts, respectively in 66%, 45% and 91% of patients. Likewise, intakes were low for water-soluble vitamins, especially Vitamins B9 (62.6%) and B12 (54%). Almost the majority of participants in our study (92%) had very low calcium intakes. Inputs of magnesium, zinc and selenium were insufficient in 43%, 35% and 48% of patients respectively. Conclusion: Obesity, excessive energy and sugar intake, as well as mineral and vitamin deficiencies could explain the high incidence of breast cancer in southern Morocco. A balanced diet would fight against breast cancer.

Keywords

Anthropometric data; Breast cancer; Morocco; Nutritional profile

Download this article as: 
Copy the following to cite this article:

Moukal A, El-Farouqi A, Aghrouch M, EL-Bakraoui K, Zekhnini A, Izaabel E. Assessment of the Nutritional Profile of Women with Breast Cancer from the Agadir Region (South of Morocco). Biomed Pharmacol J 2021;14(4).

Copy the following to cite this URL:

Moukal A, El-Farouqi A, Aghrouch M, EL-Bakraoui K, Zekhnini A, Izaabel E. Assessment of the Nutritional Profile of Women with Breast Cancer from the Agadir Region (South of Morocco). Biomed Pharmacol J 2021;14(4). Available from: https://bit.ly/3CPTG5r

Introduction

Among tumors, breast cancer (BC) is one of the most diagnosed with an incidence and mortality rate reaching respectively 24.5% and 15.5% worldwide1. BC is a complex condition subdivided into molecular subtypes related to the status of estrogen (ER) and progesterone (PR) receptors, and human epidermal growth factor (HER2) receptors. Similarly, two phenotypic subtypes of expression of hormonal receptors in the epithelial cells of the ducts or lobules of the mammary glands are distinguished; luminal A cells have more ER than luminal B cells. BC may have a different etiology depending on the status of the receptors2. For example, the literature reported a strong binding of ER + type to reproductive factors3, hormone replacement therapy in menopause4 and the mass body index (BMI)5. Diet also plays an important role in the development of BC6. BC was favored by cereals and available sugars and inversely related to vegetables and polyunsaturated fatty acids7-8 .Nutrition is also of major importance as many patients (40%) make lifestyle changes, including diet, following a positive diagnosis of cancer9-10. Some studies have reported that patients with BC have an inadequate diet11-12, which may contribute to their deteriorating health status during treatment13. A balanced and healthy diet could prevent the occurrence of BC, improve the state of health of patients and prevent co-morbidities linked to this condition, particularly cardiovascular diseases which represent the most frequent comorbidity and the main cause of death unrelated to BC in women over 50 years of age14.

Incidence (36.9%) and mortality (24.7%) values linked to BC in Morocco are higher than the world average15. This raises questions about the etiology of this disease, especially with regard to the diet and quality of life of Moroccan women. To our knowledge, no study has been undertaken to evaluate the nutritional status of women with BC in Morocco. This study aims at assessing the nutritional profile of women from the Agadir region (southern Morocco) with BC, in relation to their pathological status and their anthropometric characteristics.

Materials and Methods

Sampling and Data Collection

The study was carried out between January 2019 and February 2020. A convenience sample of 91 women with BC was recruited from the Hassan II Regional Hospital Center and the Agadir Regional Center of Oncology. All subjects were initially informed that their biological and anthropometric data would be exploited for scientific purposes. All participants signed informed and express consent. The study was authorized by the Moroccan Ministry of Health (authorization number 3851/02092017) and approved by the Moroccan Association of Research and Ethics (approval number 4/REC/20). Recruitment concerned patients with BC without metastases, with postoperative, preoperative, ongoing or completed treatment, and without any sign of recurrence or relapse. The exclusion criteria were metastatic BC and other cancers, decompensated heart disease, hepatic failure, renal failure, psychiatric illness and any refusal to sign consent. Data were collected using a questionnaire in direct interviews, face-to-face, and from medical records. They included education level, occupation, marital status, parity and hormonal status of the respondent (menopausal status and use of contraception). BCs have been classified into molecular subtypes based on the expression of hormone receptors (ER + / ER-; PR + / PR-, HER2 +/–; luminal A and luminal B). Body mass, height, waist circumference and hip circumference were determined and compared to WHO recommendations16. Abdominal obesity was indicated if the waist circumference was ≥ 88 cm or 0.85 for the waist-to-hip ratio (TT / TH).

The body analysis was performed using a Tanita® BC 418 MA analyzer (Tanita Corporation, USA) which determines weight, BMI, percentage fat mass (FM), lean mass (LM) and visceral fat (VF). All of these measurements were carried out while standing. The BMI was classified according to the WHO recommendations as underweight (BMI <18.5 kg / m2), normal weight (18.5 ≤ BMI 24.9 kg / m2), overweight (25 ≤ BMI 29.9 kg / m2) and obese (BMI> 30 kg / m2). Based on their body fat (BF) percentage, the patients were classified into a lean group, a normal BF group and an excess BF group (with body fat levels <24%, between 24% and 33%, and > 33% respectively). All patients were asked to complete three non-consecutive days’  food diary (two working days and one weekend day). To estimate food servings, photos of household measurements such as plates, spoons, glasses, bowls, and cups were shown to patients using SuviMax survey books. Nutritional intake calculations were performed using Nutrilog® software (Ver2.20). Several nutritional variables were evaluated, including energy intake, macronutrients (proteins, carbohydrates, lipids, cholesterol and fiber), vitamins (A, D, E, B2, B6, folic acid, B12, C), minerals and oligoelements (calcium, iron, magnesium, zinc, selenium). Due to the lack of standards or recommended intakes specific to the Moroccan population, nutritional intakes were determined by referring to those recommended by The Institute of Medicine of the National Academies (USA)17.

Statistical analyzes

Statistical analyzes were performed using SPSS-20 software. Data represented mean ± for quantitative variables and as a percentage for qualitative variables. Comparisons between groups were made using analysis of variance (ANOVA) and Student’s “t” test. Pearson’s correlation test was used to assess associations between nutrient intakes and anthropometric parameters of different groups.

Results

Table 1 summarizes the socio-demographic and pathological characteristics of the patients. The results show that 79% were from the urban areas, close to 65% were illiterate and only 3.3% had university level. Three quarters were housewives. The majority were married (56%). The menopausal status represented 54% and 65% of the respondents used oral contraception.

Table 1: General data of the respondents.

Residence Menopausal status  
Rural 20.88 % (n = 19) Pre-menopausal 46.15 % (n = 42)
Urban 79.12 % (n = 72) Post-menopausal 53.85 % (n = 49)
Marital status   Education level
Singles 13.19 % (n = 12) Illiterate 64.83 % (n = 59)
Brides 56.04 % (n = 51) Primary 18.68 % (n = 17)
Divorced 16.48 % (n = 15) Secondary 13.19 % (n = 12)
Widows 14.29 % (n = 13) University 3.30 % (n = 3)
Oral contraception   Working status  
Yes 64.84 % (n = 59) Manager 2.21 % (n = 2)
No 35.16 % (n = 32) Employee 4.40 % (n = 4)
    Worker 12.08 % (n= 11)
Housewife 81.31 % (n= 74)

Table 2 shows the anthropometric parameters of the interviewees. The average age was 48.54 ± 9.83 years. Their weight and BMI were 68.69 ± 11.60 and 28.56 ± 4.73 respectively. Postmenopausal women had a significantly higher mean weight and BMI than non-menopausal women (p < 0.015). We found that about 75% of them were overweight or obese and 84% had a very high waist circumference. The patients also presented an excess of BF. The BF rate was significantly higher in postmenopausal than in premenopausal women (p < 0.007).

Table 2: Anthropometric parameters of the respondents

Age Weight  ( kg) Height  (cm) BMI (kg/m2) WC (cm) HC (cm) WT/HC FM (%) LM (%) VF (kg)
Average 48.54 68.69 155.68 28.56 96.81 104.38 0.93 36.54 42.91 7.84
Standard deviation 9.83 11.60 6.50 4.73 10.22 10.90 0.07 6.98 4.41 2.93
Minimum value 26 44 138 19.10 64 70 0.78 17.10 30.30 1
Maximum value 74 97.20 169 39.90 119 129 1.15 48.40 53.70 14
Percentiles 25 42 60.70 151 24.90 90 98 0.88 30.80 39.50 6
50 49 68.20 156 28.10 99 104 0.93 37.30 42.80 8
75 54 77.60 159 32.20 103 113 0.97 42.60 46.10 10

BMI: body mass index, WC: waist circumference, HC: hip circumference, FM: fat mass, LM: lean mass, VF: visceral fat.

Table 3 displays the intakes of various nutrients among the participants in our survey. The majority of them (79%) had energy intake well above the recommendations. The contribution of lipids in these intakes was excessive for 46% of patients. As for the qualitative aspect, the intakes of saturated fatty acids were only high in 14% of cases. Intake of saturated fatty acids was positively correlated with tumor size (r = 0.233 and p = 0.026).

Table 3: Total daily intake of nutrients

Macronutrients and energy Mean (SD) Recommendations (INMA, 2005) Patients with non-standard intake (%)
Energy (Kcal/day) 2562 (606) 1800 – 2000
Proteins (%) 12.99 (3.88) 12 – 15 +35.21
Proteins (g/Kg/day) 1.22 (0.43) 0.8 – 1 +26.26
Carbohydrates (%) 52.57 (10.83) 55 – 60 +42
Sugar (%) 12.15 (5.41) < 5 +58
Lipids (%) 34.54 (10.42) 25 – 35 +46
Fibres (g) 32.14 (16.63) 25 – 30 -31
Cholesterol (mg) 300 (262.9) 180 – 205 +40
SFA (%) 7.1 (2.63) < 10 +14
MUFA (%) 20.84 (7.75) 15 – 20 +50.55
PUFA (%) 4.41 (2.34) 5 – 10 +53
Minerals (mg)
Calcium 551 (252) 88 – 110 -92
Phosphorus 1302 (477) 25 – 45 +93
Iron 13.75 (9.49) 8.1 – 18 +24
Magnesium 303.9 (120.54) 265 – 320 -43
Zinc 8.17 (3.43) 6.8 – 8 -35
Selenium 48.79 (22.6) 45 – 55 -48
Vitamins
A (mcg) 275.47 (236.4) 500 – 700 -66
‎D (mcg) 9.62 (5.22) 15 – 20 -45
‎E (mg) 14.05 (7.94) 12 – 15 -91
‎C (mg) 115.14 (96.46) 60 – 65 -32
B1 (mg) 1.16 (0.46) 0.9 – 1.1 -24
B2 (mg) 1.27 (1.13) 0.9 – 1.1 -35
B6 (mg) 1.96 (0.84) 1.1 – 1.3 -10
B9 (mg) 311 (133.73) 320 – 400 -62
B12 (mg) 3.1 (2.41) 2 – 2.4 -54

SFA: saturated fatty acids, MUFA: monounsaturated fatty acids, PUFA: polyunsaturated fatty acids, +: above standard, -: substandard

The consumption of monounsaturated fatty acids was high in 50.55%, and low in 23% of patients (Table 3). Intakes of polyunsaturated fatty acids were very high in nearly 53% of patients and only 6.6% had very low intakes. The consumption of sugars was important. About 42% had a very high intake, with a high consumption of fast sugars in 58%. As for proteins, the intake was satisfactory in 61.54% and low in only 13.2% of cases. No significant difference was observed between the cancer subtypes except for the sugars intake that was significantly very high in women with RP + compared to RP- subtype (table 4).

Table 4: Energy and macronutrient intake according to breast cancer subtypes

Estrogen receptor Progesterone receptor HER Phenotype
ER+

(n = 71)

ER-

(n = 20)

PR+

(n = 65)

PR-

(n = 26)

HER+

(n = 27)

HER-

(n = 64)

Luminal A (n = 45) Luminal B (n = 28)
Energy (Kcal/day) 2565

± 60

2554

± 642

2594

± 590

2483 ±

651

2546 ±

590

2569 ±

618

2650 ±

608

2428 ±

551

Proteins (%) 12,94 ±

3,91

13,15 ±

3,87

12,68 ±

3,80

13,77 ±

4,04

12,78 ±

3,64cc

13,08 ±

4,00

12,47 ±

3,20

13,71 ±

4,70

Lipids (%) 34,62 ±

10,64

34,25 ±

9,85

34,54 ±

11,01

34,54 ±

8,95

35,85 ±

10,20

33,98 ±

10,53

33,82 ±

10,70

36,25 ±

10,24

Carbohydrates (%) 52,61 ±

10,74

52,40 ±

11,42

52,94 ±

11,03

51,62 ±

10,48

51,59 ±

10,02

52,97 ±

11,21

53,96 ±

10,40

50,04 ±

10,74

Simple sugars (g) 12,67 ±

5,70

10,31 ±

3,83

12,96 ±

5,82**

 

10,13 ±

3,59

10,65 ±

4,20

12,79 ±

5,76

13,12 ±

6,24

12,10 ±

4,51

SFA (%) 6,84 ±

2,49

8,14 ±

2,94

6,63 ±

2,39

8,37 ±

2,84

5,89 ±

1,71c

7,65 ±

2,79

6,57 ±

2,52

7,44 ±

2,50

MUFA (%) 21,07 ±

8,03

20,04 ±

6,80

21,13 ±

8,31

20,13 ±

6,23

21,72 ±

8,44

20,47 ±

7,48

20,38 ±

7,55

22,37 ±

8,50

PUFA (%) 4,42 ±

2,10

4,39 ±

3,14

4,45 ±

2,18

4,31 ±

2,75

4,67 ±

2,94

4,30 ±

2,06

4,53 ±

2,40d

4,20 ±

1,41

Fiber (g) 33,03 ±

17,51

29,01 ±

12,89

34,04 ±

17,67

27,40 ±

12,77

30,13 ±

12,03

32,99 ±

18,24

34,62 ±

19,47

30,38

12,90

Cholesterol (mg) 293,33 ±

244,04

325,19 ±

327,30

279,0 ±

240,46

353,5 ±

310,90

271,0 ±

200,37

312,70 ±

285,73

291,02 ±

265,58

291,00 ±

200,70

SFA: saturated fatty acids, MUFA: monounsaturated fatty acids, PUFA: polyunsaturated fatty acids.

**: significantly different (p<0.01) by comparison of PR+ to PR-.

The cholesterol intake was too high in 40% of patients (table 3). These intakes were significantly greater in premenopausal women than in postmenopausal women (p < 0.01).

The fiber content of food was low in approximately 31% of patients. Obese women consumed significantly lower amounts of fiber than non-obese women (p < 0.05).

The majority of the patients (92%) had very low Ca intakes. On the other hand, phosphorus intakes were very high compared to the recommendations in 93% of cases.

Mg, Zn and Se intakes were insufficient in 43%, 35% and 48% of cases respectively, but Fe intake was satisfactory in 74% of patients.

For fat-soluble vitamins, approximately 66%, 45% and 91% of patients had very low intakes of vitamins A, E and D respectively. As for water-soluble vitamins, it should be noted that the intakes were insufficient in vitamin C for 32%, B1 for 24%, B2 for 35.2%, B6 for 10%, B9 for 62.6%, and B12 for 54%. The comparison of the BC subtypes did not show any significant difference for energy and macronutrient intake (table 4). However, significantly lower Vit A values (p < 0.05) were noted for ER+, PR+, HER2+ and luminal A compared to ER-, PR-, HER- and luminal B respectively (Table 5). The same was true for Vit B2 whose intake was significantly lower for ER+ and PR+ compared to ER- and PR- subtypes respectively (p < 0.001) and for Vit B12 with a lower value (p < 0.001) for the HER2+ compared to HER2- subtype (table 5).

Table 5: Minerals and vitamins intake according to breast cancer subtypes.

Estrogen receptor Progesterone receptor HER Phenotype
ER+

(n = 71)

ER-

(n = 20)

PR+

(n = 65)

PR-

(n = 26)

HER+

(n = 27)

HER-

(n = 64)

Luminal A (n = 45) Luminal B (n = 28)
Vit A (mcg) 247,85 ±

156,05

***

373,51 ±

402,51

231,64 ±

120,12

***

385,04 ±

383,09

222,53 ±

100,63

**

297,80 ±

271,93

228,09 ±

104,63

**

314,22 ±

283,73

Vit D (mcg) 9,66 ±

5,24

9,50 ±

5,29

9,72 ±

5,47

9,38 ±

4,63

7,98 ±

1,89

**

10,32 ±

5,98

9,34 ±

4,16

10,05 ±

6,54

Vit E (mg) 14,68 ±

8,66

11,81 ±

3,91

15,11 ±

8,85

11,40 ±

4,05

15,16 ±

9,22

13,58 ±

7,36

15,41 ±

10,03

13,29 ±

5,35

Vit C (mg) 120,72 ±

104,62

95,32 ±

56,68

123,48 ±

104,06

94,27 ±

71,68

110,48 ±

78,29

117,10 ±

103,67

123,32 ±

116,46

116,29 ±

79,29

Vit B1 (mg) 1,18 ±

0,46

1,11 ±

0,45

1,19 ±

0,46

1,10 ±

0,45

1,11 ±

0,39

1,19 ±

0,48

1,23 ±

0,52

1,09 ±

0,31

Vit B2 (mg) 1,17 ±

0,50

***

1,63 ±

2,21

1,16 ±

0,50

***

1,55 ±

1,95

 

1,03 ±

0,37

1,37 ±

1,31

1,17 ±

0,49

1,17 ±

0,52

VIT B6 (mg) 1,98 ±

0,87

1,89 ±

0,73

2,00 ±

0,86

1,85 ±

0,78

1,78 ±

0,65

2,04 ±

0,90

1,97 ±

0,78

1,99 ±

0,98

Vit B9 (mg) 317,02 ±

122,94

289,59 ±

168,55

319,57 ±

119,20

289,54 ±

165,35

297,90 ±

115,15

316,51 ±

141,32

321,65 ±

118,76

305,83 v

127,55

Vit B12 (mg) 3,05 ±

2,48

3,27 ±

2,19

3,09 ±

2,59

3,12 ±

1,95

2,27±

0,97

***

3,45 ±

2,74

2,82 ±

1,97

3,44 ±

3,08

Mg (mg) 311,93 ±

124,12

275,37 ±

104,74

317,93 ±

124,57

268,82 ±

103,87

297,46 ±

115,90

306,61 ±

123,24

326,57 ±

139,93d

284,68 ±

84,51

Ca (mg) 553,66 ±

260,52

541,19 ±

224,66

563,04 ±

267,71

520,63 ±

209,00

499,62 ±

176,33

572,56 ±

276,10

569,13 ±

288,96

533,34 ±

199,58

P (mg) 1317,33 ±

481,87

1248,27 ±

467,74

1322,04 ±

494,68

1252,45

±

435,14

1216,07

±

378,68

1338,47

±

511,34

1336,09

±

507,86

1283,29

±

425,12

 Fe (mg) 13,99 ±

9,53

12,93 ±

9,53

14,15 ±

9,88

12,75 ±

8,53

12,13 ±

4,86

14,44 ±

10,83

14,68 ±

11,49

12,64 ±

4,33

Zn (mg) 8,06 ±

2,92

8,54 ±

4,91

8,08 ±

2,79

8,38 ±

4,73

7,51 ±

2,41c

8,44 ±

3,76

8,24 ±

2,87

7,89 ±

2,98

Se (mcg) 48,89 ±

22,08

48,42 ±

24,94

48,82 ±

22,13

48,70 ±

24,17

43,52 ±

20,02

51,01 ±

23,39

49,07 ±

22,66

48,74 ±

20,70

**: significantly different at p<0.01, ***: significantly different at p<0.001 by comparison of ER + to ER-, PR+ to PR-, HER+ to HER-, and luminal A to luminal B.

Discussion

This work represents the first study of the main anthropometric and nutritional characteristics of Moroccan women with BC. According to our results, about 38% of the patients were obese. This value is higher than the value of 29 % reported on Moroccan women18. An increase in body weight in women with BC was previously reported19. Based on BMI, % Fat and waist-to-hip ratio, the participants in our study mainly suffered from abdominal obesity. The results also showed that overweight and obesity, particularly abdominal obesity, affect  postmenopausal women more than premenopausal womenSome studies noted weight gain in neo-adjuvant therapy in 50 – 96% of women with BC20,21. This excess weight can be a factor of poor prognosis for patients. In fact, obese women are more likely to have large tumors, advanced disease at diagnosis, high rates of metastasis and can develop resistance to endocrine therapy22,23. Obesity was also associated with a significant increase in the risk of death from all causes and a marginally significant risk of mortality from BC19. In this regard, Flanagan et al.24  reported that an increase of 1 kg / m2 in BMI would imply a 3% increase in the probability of recurrence of BC; and that women who were obese at the time of BC diagnosis had a 1.6 times higher risk of recurrence than women with a normal BMI. Other authors noted the existence of an increased risk of developing second BC and a poor prognosis associated with obesity and / or weight gain25,26. Obesity and overweight can also affect the effectiveness of antineoplastic treatments, increase their side effects and complicate management due to related comorbidities such as hypertension, hyperlipemia and diabetes27. Indeed, the fat mass in particular the visceral fat responsible for abdominal obesity is a metabolically active fat21. It secretes several substances such as adipokines, growth factors and inflammatory cytokines. These molecules are involved in cell survival or apoptosis, angiogenesis, migration and proliferation21, which allows them to play an important role in the occurrence, development, recurrence, metastasis and mortality from BC28,29.

In general, the nutritional contributions recorded by our study were very unbalanced. Energy intakes were very high in the majority of patients, especially those in post-menopause. Their carbohydrate intakes, especially simple sugars, were very high. These factors, combined with a sedentary lifestyle, explain the overweight and obesity recorded, especially among postmenopausal women. Excessive intakes can promote tumor growth30. Likewise, high intakes of saturated fat increase the risk of mortality due to BC, but also due to associated comorbidities31.

Food intake of vitamin A, D and E was low in the majority of our patients. This finding hardly comforts the patients. Indeed, large intakes of β-carotene (provitamin A) in pre-diagnosis of BC were significantly associated with an improvement in overall survival32. We also observed significantly lower intakes of Vit A in women with positive markers of ER, PR and HER subtypes. These results are in agreement with those of Cui et al.33 who report an inverse association between the risk of BC and dietary carotenoids in menopausal women with ER + and PR +. Similarly, the vitamin D deficiency observed in our study is thought to be one of the risk and mortality factors associated with BC34. Vitamin D is involved in the differentiation, proliferation and apoptosis of epithelial cells. A normal serum 25 Hydroxy –Vit D level (> 30ng / mL) at diagnosis was significantly correlated with an improvement in BC-specific survival at least after 3 years of follow-up35-37. Vitamin E also has pro-apoptotic, antiproliferative and angiogenesis inhibitory activities38,39. It could also be associated with antineoplastic therapies to fight against metastases and improve immune and anti-inflammatory functions38-40. In fact, adequate vitamin E intake was associated with a  decreased risk of recurrence of BC and overall mortality38,41,42.

Vitamin B9 and B12 intakes were low in 62% and 52% of the women interviewed, respectively. This deficiency can have negative consequences on women with BC, as folates play an important role in DNA synthesis, methylation and repair43-45. However,  supplementation of the diet with folates must take into account that in high doses this vitamin constitutes a risk factor for the development of cancers46. Vitamin B12 can have a positive effect in BC. Its use before and during chemotherapy allowed a significant increase in BC survival47-50. In addition, various forms of Vit B12 showed anti-tumor activity. Thus, methylcobalamin slowed tumor growth and induced apoptosis in carcinoma cells in mice, although growth promoters such as androgens have been used51,52. The 5′- deoxyadenosylcobalamin and methylcobalamin have cytotoxic properties53.

Methylcobalamin, in addition to its action on tumor growth, increased survival time in mice54.

Another factor compromising the patients’ prognosis is the low intake of vitamin C. Indeed, several studies supported the fact that an adequate intake of vitamin C was associated with a reduction in the risk of recurrence and / or mortality in patients with BC55,56. High doses of vitamin C induce apoptosis, reduce cell proliferation and the number of invading cancer cells, and prevent metastasis57. These effects are even more marked in cases of aggressive BC, as is the case with that of the triple negative subtype58.

Our results also showed that the Ca, Mg, Zn and Se intakes were below the required values. Even if the relationship between Ca and BC intakes is not yet well established, this mineral may be involved in breast carcinogenesis through its important role in the regulation of cell proliferation, differentiation and apoptosis59,60. In fact, a high calcium intake decreases breast carcinogenesis and the uncontrolled proliferation of epithelial cells induced by fat in the breast and / or by a chemical carcinogen in rodents61,62. On another hand, low intakes of magnesium could compromise patient survival. Indeed, a deficiency in Mg can alter certain biological functions in women with BC, in particular those linked to cell proliferation and signaling, and DNA synthesis and repair63,64. However, any additional intake of Mg must take into account that of Ca, since the latter behaves as a competitor for Mg, particularly in terms of intestinal absorption65. Deficiencies in Zn and Se, associated with those of vitamins C and E, can lead to an increase in cellular oxidative stress, which would lead to DNA damage33. In fact, the development of BC is accompanied by oxidative stress, which increases with the progression of the disease and the levels of antioxidant defenses decrease during antineoplastic treatments66,67. In addition to their antioxidant role, vitamin E, vitamin C and Se selectively induce apoptosis in cancer cells66,68,69. Furthermore, Zn and organic Se inhibit tumor growth and provide more protection against BC metastasis70,71.

Conclusion

The nutritional profile of Moroccan women with BC showed many imbalances. On the one hand, the intakes of energy, free sugars and saturated fatty acids were high. On the other hand, vitamins A, D, E, B9, B12 and the trace element Zn and Se showed a significant deficit. Improving nutritional quality would help fight against the occurrence of breast cancer and help patients recover better following antineoplastic treatments.

Acknowledgement 

We would like to thank all the respondents who participated in this work.

Conflict Interest

None

Funding Source

None

References

  1. Sung H, Ferlay J, Siegel R. L, Laversanne M, Soerjomataram I, Jemal A and Bray F. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J. Clin., 2021; 71: 209–249.
    CrossRef
  2. Potter J. D, Cerhan J. R, Sellers T. A, McGovern P. G, Drinkard C, Kushi L. R and Folsom A., R. Progesterone and estrogen receptors and mammary neoplasia in the Iowa Women’s Health Study: how many kinds of breast cancer are there? Cancer Epidemiol. Biomarkers Prev., 1995; 4: 319-326.
    CrossRef
  3. Althuis M. D, Fergenbaum J. H, Garcia-Closas M, Brinton L, Madigan M. P and Shermanet M. E. Etiology of hormone receptor-defined breast cancer: a systematic review of the literature. Cancer Epidemiol. Biomarkers Prev., 2004; 13: 1558-1568.
    CrossRef
  4. Li C. I, Malone K. E, Porter P. L, Weiss N. S, Tang M. T, Cushing-Haugen K. L and Daling J. R. Relationship between long durations and different regimens of hormone therapy and risk of breast cancer. JAMA., 2003; 289: 3254-3263.
    CrossRef
  5. Suzuki R, Orsini N, Saji S. Key T. J and Wolk A. Body weight and incidence of breast cancer defined by estrogen and progesterone receptor status: a meta-analysis. Int. J. Cancer, 2009; 124: 698-712.
    CrossRef
  6. Momenimovahed Z and Salehiniya H. Epidemiological characteristics of and risk factors for breast cancer in the world. Breast Cancer – Targets and Therapy, 2019; 11: 151–164.
    CrossRef
  7. Franceschi S, Parpinel M, La Vecchia C et al. Role of different types of vegetables and fruit in the prevention of cancer of the colon, rectum, and breast. Epidemiology, 1998; 9: 338341.
    CrossRef
  8. Tavani A, Pelucchi C, Parpinel M, Negri E, Franceschi S, Levi F and La Vecchia C. n-3 polyunsaturated fatty acid intake and cancer risk in Italy and Switzerland. Int. J. Cancer, 2003; 105: 113-116.
    CrossRef
  9. Patterson R, Neuhouser M, Hedderson M, Schwartz S, Standish L and Bowen D. J. Changes in diet, physical activity, and supplement use among adults diagnosed with cancer. J. Am. Diet. Assoc., 2003; 103: 323–328.
    CrossRef
  10. Thomson C. A, Flatt S. W, Rock C. L, Ritenbaugh C, Newman V and Pierce J. P. Increased fruit, vegetable and fiber intake and lower fat intake reported among women previously treated for invasive breast cancer. J. Am. Diet Assoc., 2002; 102: 801–808.
    CrossRef
  11. Ferreira I. B, Eda C. M, Custódio I. D, Gontijo C. A, Paiva C. E, Crispim C. A, Maia Y. C. Food intake and the nutritional status of women undergoing chemotherapy. Cien Saude Colet, 2016; 21 (7): 2209-2218.
    CrossRef
  12. Custódio I. D. D, Marinho E. D. C, Gontijo C. A, Pereira T. S, Paiva C. E and Maia Y. C. Impact of chemotherapy on diet and nutritional status of women with breast cancer: A prospective study; PLoS One, 2016; 11 (6): e0157113 2016.
    CrossRef
  13. Hébuterne X, Lemarié E, Michallet M, de Montreuil C. B, Schneider S. M and Goldwasser F. Prevalence of malnutrition and current use of nutrition support in patients with cancer. J. Parenter. Enteral. Nutr., 2014; 38 (2:, 196-204.
    CrossRef
  14. Bradshaw P. T, Stevens J, Khankari N, Teitelbaum S. L, Neugut A. I and Gammon M. D. Cardiovascular disease mortality among breast cancer survivors. Epidemiol. Camb. Mass., 2016; 27: 6–13.
    CrossRef
  15. World Health Organization. Global Health Observatory. Geneva: World Health Organization; 2018. who.int/gho/database/en/. Accessed July 17, 2018.
  16. World Health Organization. Waist circumference and waist–hip ratio: Report of a WHO expert consultation, Geneva, 8–11 December 2008.
  17. Institute of Medicine of the National Aademies. Dietary Reference Intakes: The Essential Guide to Nutrient Requirements. Washington, DC: The National Academies Press; 2006.
  18. FAO, IFAD, UNICEF, WFP and WHO. The state of food security and nutrition in the world 2017. Building resilience for peace and food security. Rome, 2017.
  19. Caan B. J, Kwan M. L, Hartzell G, Castillo A, Slattery M. L, Sternfeld B and Weltzien E. Pre-diagnosis body mass index, post-diagnosis weight change, and prognosis among women with early stage breast cancer. Cancer Causes Control, 2008; 19 (10): 1319-1328.
    CrossRef
  20. Demark-Wahnefried W, Rimer B. K and Winer E. P. Weight gain in women diagnosed with breast cancer. J. Am. Diet Assoc., 1997; 97 (5): 519‐528.
    CrossRef
  21. Demark-Wahnefried W, Winer E. P and Rimer B. K. Why women gain weight with adjuvant chemotherapy for breast cancer. J. Clin. Oncol., 1993; 11( 7): 1418‐1429.
    CrossRef
  22. Chan D. S, Vieira A. R, Aune D, Bandera E. V, Greenwood D. C, McTiernan A, Navarro Rosenblatt D, Thune I, Vieira R and Norat T. Body mass index and survival in women with breast cancer. Systematic literature review and meta-analysis of 82 follow-up studies. Ann. Oncol., 2014; 25 (10): 1901-1914.
    CrossRef
  23. Santa-Maria C. A, Yan J, Xie X. J and Euhus D. M. Aggressive estrogen-receptor-positive breast cancer arising in patients with elevated body mass index. Int. J. Clin. Oncol., 2015; 20 (2): 317‐323.
    CrossRef
  24. Flanagan M. R, Tang M. C, Baglia M. L, Porter P. L, Malone K. E and Li C. I. Relationship between anthropometric factors and risk of second breast cancer among women with a history of ductal carcinoma in situ. JNCI Cancer Spectr., 2018; 2 (2): pky020.
    CrossRef
  25. Chan D. S and Norat T. Obesity and breast cancer: not only a risk factor of the disease. Curr. Treat. Options Oncol., 2015; 16 (5): 22.
    CrossRef
  26. Kwan M. L, Chen W. Y, Kroenke C. H, Weltzien E. K, Beasley J. M, Nechuta S. J, Poole E. M, Lu W, Holmes M. D, Quesenberry C. P. Jr, Pierce J. P, Shu X. O and Caan B. J. Pre-diagnosis body mass index and survival after breast cancer in the After Breast Cancer Pooling Project. Breast Cancer Res. Treat., 2012; 132(2): 729-739.
    CrossRef
  27. Sheean P. M, Hoskins K and Stolley M. Body composition changes in females treated for breast cancer: a review of the evidence. Breast Cancer Res. Treat., 2012; 135 (3): 663‐680.
    CrossRef
  28. Fox C. S, Massaro J. M, Hoffmann U, Pou K. M, Maurovich-Horvat P, Liu C. Y, Vasan R. S, Murabito J. M, Meigs J. B, Cupples L. A, D’Agostino R. B. Sr and O’Donnell C. J. Abdominal visceral and subcutaneous adipose tissue compartments: association with metabolic risk factors in the Framingham Heart Study. Circulation, 2007; 116 (1): 39‐48.
    CrossRef
  29. Hursting S. D and Berger N. A. Energy balance, host-related factors, and cancer progression. J. Clin. Oncol., 2010; 28 (26): 4058‐4065.
  30. MacLennan M and Ma D. W. Role of dietary fatty acids in mammary gland development and breast cancer. Breast Cancer Res., 2010; 12 (5): 211.
    CrossRef
  31. Brennan S. F, Woodside J. V, Lunny P. M, Cardwell C. R and Cantwell M. M. Dietary fat and breast cancer mortality: A systematic review and meta-analysis. Crit. Rev. Food. Sci. Nutr.; 2017; 57 (10):1999-2008.
    CrossRef
  32. He J, Gu Y and Zhang S. Vitamin A and breast cancer survival: A systematic review and meta-analysis. Clin. Breast Cancer, 2018; 18 (6): e1389-e1400.
    CrossRef
  33. Cui Y, Shikany J. M, Liu S; Shagufta Y and Rohan T. E. Selected antioxidants and risk of hormone receptor–defined invasive breast cancers among postmenopausal women in the Women’s Health Initiative Observational Study. Am. J. Clin. Nutr., 2008; 87: 1009–1018.
    CrossRef
  34. Sheng L, Callen D. F and Turner A. G. Vitamin D3 signaling and breast cancer: Insights from transgenic mouse models. J. Steroid. Biochem. Mol. Biol., 2018; 178: 348-353.
    CrossRef
  35. Hatse S, Lambrechts D, Verstuyf A, Smeets A, Brouwers B, Vandorpe T, Brouckaert O, Peuteman G, Laenen A, Verlinden L, Kriebitzsch C, Dieudonné A. S, Paridaens R, Neven P, Christiaens M. R, Bouillon R and Wildiers H.. Vitamin D status at breast cancer diagnosis: correlation with tumor characteristics, disease outcome, and genetic determinants of vitamin D insufficiency. Carcinogenesis, 2012; 33 (7): 1319–1326.
    CrossRef
  36. Vrieling A, Seibold P and Theron S. Circulating 25-hydroxyvitamin D and postmenopausal breast cancer survival: Influence of tumor characteristics and lifestyle factors. Int. J. Cancer, 2014; 15; 134(12): 2972-2983.
    CrossRef
  37. Yao S, Kwan M. L and Isaac J. Higher serum levels of vitamin D at diagnosis are associated with better survival in a prospective cohort of 1,666 women with breast cancer: A case-cohort analysis in the Pathways Study. JAMA Oncol., 2017; 3 (3): 351–357.
    CrossRef
  38. Rizvi S, Raza S. T, Ahmed F, Ahmad A, Abbas S and Mahdi F. The role of vitamin E in human health and some diseases. Sultan Qaboos Univ. Med. J., 2014; 14 (2): e157-e165.
  39. Alawin O. A; Ahmed R. A, Ibrahim B. A, Briski K. P and Sylvester P. W. Antiproliferative effects of γ-tocotrienol are associated with lipid raft disruption in HER2-positive human breast cancer cells. J. Nutr. Biochem., 2016; 27, 266–277.
    CrossRef
  40. Aggarwal V, Kashyap D, Sak K, Tuli H. S, Jain A, Chaudhary A, Garg V. K, Sethi G and Yerer M. B. Molecular mechanisms of action of tocotrienols in cancer: Recent trends and advancements. Int. J. Mol. Sci., 2019; 20 (3): 656.
    CrossRef
  41. Abraham A, Kattoor A. J, Saldeen T and Mehta J. L. Vitamin E and its anticancer effects. Crit. Rev. Food Sci. Nutr., 2019; 59 (17): 2831-2838.
    CrossRef
  42. Lee G. Y and Han S. N. The role of vitamin E in immunity. Nutrients; 2018; 10 (11): 1614.
    CrossRef
  43. Choi S. W and Mason J. B. Folate and carcinogenesis: an integrated scheme. J. Nutr., 2000; 130:129-132.
    CrossRef
  44. Duthie S. J, Narayanan S, Brand G. M, Pirie L and Grant G. Impact of folate deficiency on DNA stability. J. Nutr., 2002; 132: 2444–2449.
    CrossRef
  45. Lewis S. J, Harbord R. M, Harris R and Smith G. D. Meta-analyses of observational and genetic association studies of folate intakes or levels and breast cancer risk. J. Natl. Cancer Inst., 2006; 98: 1607-1622.
    CrossRef
  46. Kim Y. Folate: a magic bullet or a double-edged sword for colorectal cancer prevention? Gut., 2006; 55: 1387–1389.
    CrossRef
  47. Lajous M, Romieu I, Sabia S, Boutron-Ruault M. C and Clavel-Chapelon F. Folate, vitamin B12 and postmenopausal breast cancer in a prospective study of French women. Cancer Causes Control.;, 2006; 17 (9): 1209-1213.
    CrossRef
  48. Willett C. Plasma folate, vitamin B6, vitamin B12, homocysteine, and risk of breast cancer., J. Natl. Cancer Inst., 2003; 95(5): 373-380.
    CrossRef
  49. Wu W, Kang S and Zhang D. Association of vitamin B6, vitamin B12 and methionine with risk of breast cancer: a dose-response meta-analysis. Br. J. Cancer., 2013; 109 (7):1926-1944.
    CrossRef
  50. Zhang S. M, Willett W. C, Selhub J, Hunter D. J, Giovannucci E. L, Holmes M. D, Colditz G. A and Hankinson S. E. Plasma folate, vitamin B6, vitamin B12, homocysteine, and risk of breast cancer. J. Natl. Cancer Inst., 2003; 95 (5): 373-380.
    CrossRef
  51. Nishizawa Y, Yamamoto T, Terada N, Fushiki S, Matsumoto K and Nishizawa Y. Effects of methylcobalamin on the proliferation of androgensensitive or estrogen-sensitive malignant cells in culture and in vivo. Int. J. Vitam. Nutr. Res., 1997; 67: 164-170.
  52. Nishizawa Y, Goto H. G, Tanigaki Y and Fushiki S. Induction of apoptosis in an androgen-dependent mouse mammary carcinoma cell line by methylcobalamin. Anticancer Res., 2001; 21: 1107-1110.
  53. Tsao C. S, Miyashita K and Young M. Cytotoxic activity of cobalamin in cultured malignant and nonmalignant cells. Pathobiology, 1990; 58 (5): 292-296.
    CrossRef
  54. Shimizu N, Hamazoe R, Kanayama H, Maeta M and Koga S. Experimental study of antitumor effect of methyl-B12. Oncology, 1987; 44 (3): 169-173.
    CrossRef
  55. Harris H. R, Orsini N and Wolk A. Vitamin C and survival among women with breast cancer: a meta-analysis. Eur. J. Cancer., 2014; 50: 1223 –12 31.
    CrossRef
  56. Hutchinson J, Lentjes M. A. H, Greenwood D. C, Burley V. J, Cade J. E, Cleghorn C. L, Threapleton D. E, Key T. J, Cairns B. J, Keogh R. H, Dahm C. C, Brunner E. J, Shipley M. J, Kuh D, Mishra G, Stephen A. M, Bhaniani A, Borgulya G and Khaw K. T. Vitamin C intake from diary recordings and risk of breast cancer in the UK Dietary Cohort Consortium. Eur. J. Clin. Nutr., 2012; 66: 561–568.
    CrossRef
  57. Zeng L. H, Wang Q. M, Feng L. Y, Ke Y. D, Xu Q. Z, Wei A. Y, Zhang C and Ying R. B. High-dose vitamin C suppresses the invasion and metastasis of breast cancer cells via inhibiting epithelial-mesenchymal transition. Onco. Targets Ther., 2019; 12: 7405-7413.
    CrossRef
  58. Gan L, Camarena V, Mustafi S and Wang G. Vitamin C inhibits triple-negative breast cancer metastasis by affecting the expression of YAP1 and synaptopodin 2. Nutrients, 2019; 11: 2997.
    CrossRef
  59. Mathiasen I. S, Sergeev I. N, Bastholm L, Elling F, Norman A. W and Jäättelä M. Calcium and calpain as key mediators of apoptosis-like death induced by vitamin D compounds in breast cancer cells. J. Biol. Chem., 2002; 277: 30738 –30745.
    CrossRef
  60. Sergeev I. N. Calcium as a mediator of 1,25-dihydroxyvitamin D3-induced apoptosis. J. Steroid. Biochem. Mol. Biol., 200 (89-90): 419–425.
    CrossRef
  61. Jacobson E. A, James K. A, Newmark H. L and Carroll K. K. Effects of dietary fat, calcium, and vitamin D on growth and mammary tumorigenesis induced by 7,12-dimethylbenz (a) anthracene in female Sprague-Dawley rats. Cancer Res., 1989; 49: 6300–6303.
  62. Xue L, Lipkin M, Newmark H and Wang J. Influence of dietary calcium and vitamin D on diet-induced epithelial cell hyperproliferation in mice. J. Natl. Cancer Inst., 1999; 91: 176–181.
    CrossRef
  63. Blaszczyk U and Duda-Chodak A. Magnesium: its role in nutrition and carcinogenesis. Rocz. Panstw. Zakl. Hig., 2013; 64 (3): 165–171.
    CrossRef
  64. Yang L, Arora K, Beard W. A, Wilson S. H and Schlick T. Critical role of magnesium ions in DNA polymerase beta’s closing and active site assembly. J. Am. Chem. Soc., 126 (27): 8441–8453.
    CrossRef
  65. Hardwick L. L, Jones M. R, Brautbar N and Lee D. B. Magnesium absorption: mechanisms and the influence of vitamin D, calcium and phosphate. J. Nutr., 1991; 121: 13-23.
    CrossRef
  66. Borek C. Dietary antioxidants and human cancer. Integr. Cancer Ther., 2004; 3(4): 333-341.
    CrossRef
  67. Khanzode S. S, Muddeshwar M. G, Khanzode S. D and Dakhale G. N. Antioxidant enzymes and lipid peroxidation in different stages of breast cancer. Free Radic. Res., 2004; 38: 81-85.
    CrossRef
  68. Borek C and Pardo F. Vitamin E and apoptosis: a dual role. In: Pasquier C, ed. Biennial Meeting of the Society for Free Radicals Research International. Paris, France, July 16-20, 2002. Monduzzi Editore, Bologna, Italy, 1994:327-331.
  69. Sigounas G, Anagnostu A and Steiner M. Dl-alpha tocopherol induces apoptosis in erythroleukemia, prostate and breast cancer cells. Nutr. Cancer, 1997; 28: 30-35.
    CrossRef
  70. Chen Y. C, Prabhu K. S, Das A and Mastro A. M. Dietary selenium supplementation modifies breast tumor growth and metastasis. Int. J. Cancer, 2013; 133 (9): 2054-2064.
    CrossRef
  71. Wu X, Tang J and Xie M. Serum and hair zinc levels in breast cancer: a meta-analysis. Sci. Rep., 2015; 5: 12249.
    CrossRef

Abbreviations

BC : Breast Cancer
BF : Body Fat
ER : Estrogen Receptor
FM : Fat Mass
HER : Human Epidermal Growth Factor Receptor
LM : Lean Mass
MBI : Mass Body Index
PR : Progesterone Receptor
VF : Visceral Fat
Share Button
(Visited 603 times, 1 visits today)

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.