Colorectal cancer: A case-control study of dietary factors in an indigenous East African population.

Wismayer R, Kiwanuka J, Wabinga H and Odida M

Published on: 2023-03-26

Abstract

Introduction: Low-income countries in East Africa have a lower incidence of colorectal cancer (CRC) than high-income countries; however, the incidence has steadily increased in the last few decades. In East Africa, the extent to which genetic and environmental factors, particularly dietary factors, contribute to the aetiology of CRC is unclear. Therefore, the objective of our study was to determine the relationship between dietary factors and CRC in an indigenous population in East Africa.

Methods: We conducted a case-control study and recruited 128 cases and 256 controls, block-matched for age (±5 years) and sex. Data regarding diet were obtained from all the participants using an interview-based questionnaire. The potential dietary risk factors and protective factors evaluated included the type, frequency of meat consumed and the type and frequency of fibre foods consumed. The frequency was either 4x and above/week or 2-3x/week or 1x/week or never. Ordinal and conditional logistic regression analyses were used to determine the odds ratios associated with the different risk and protective factors.

Results: The mean age (IQR) for the case participants was 55.5 (43-67.5) years, and that of the control participants was 54 (42-65) years. The male: female ratio was 1:1 for all the participants. The most significant risk factor included the consumption of boiled beef 2-3x/week (aOR: 3.24; p<0.035). Consumption of high fibre foods, including: - millet for ≥4x/week (aOR: 0.23; p=0.003)), spinach for ≥4x/week (aOR: 0.32; p=0.043), and potatoes 2-3x/week (aOR: 0.30; p=0.044), were protective against CRC. Cassava showed a tendency to reduce the likelihood of CRC when consumed ≥4x/week (aOR: 0.38) however this did not reach statistical significance (p=0.093).

Conclusions: The consumption of boiled beef increases the risk of CRC, while the intake of high-fibre foods may reduce the risk of CRC among Ugandans. We recommend nutritional educational programmes to increase public awareness regarding the protective role of a high-fibre diet and to limit the intake of cooked meat in our indigenous East African population.

Keywords

Colorectal Cancer; East Africa; Protective Factors; Risk Factors; High-Income Developed Countries; Low-Income Developed Countries

Introduction

In 2020, colorectal cancer (CRC) was the third most common malignancy with 1.9 million incidence cases and 935,000 deaths worldwide [1, 2]. High-income developed countries have a high incidence of CRC; however, in low-income developing countries, while there is a lower incidence, this has steadily increased in the last few decades [1, 2].

In Uganda, the age-standardized incidence rate has steadily increased from 6.8 to 11.0 per 100,000 from 1991 to 2015 [3, 4]. This increase in the incidence rate of CRC poses a public health challenge even though the burden from CRC is below that found

 

in high-income developed countries. To reduce CRC morbidity and mortality, awareness among the population regarding the prevention of CRC, promotion of a healthy lifestyle and implementation of screening programmes are necessary.

During the last few decades, the increase in the incidence of CRC in East Africa, has resulted from an improved diagnosis; however, other reasons have been postulated [5]. These include the increased prevalence of risk factors in our community, which may be responsible for an increase in noncommunicable diseases such as CRC [5-8].

In East Africa the extent to which genetic and environmental factors particularly dietary factors contribute to the aetiology of CRC is unclear. It has been postulated that hereditary factors are important in Africa, as 25% of the affected individuals are younger than 40 years of age [5, 9] and have mucinous histology, which is consistent with Lynch syndrome [10]. A high frequency of early-onset CRC among African-Americans has been found, and this supports genetic hereditary factors being responsible for being a risk factor for CRC [11].

However, the importance of environmental factors is also explained by the high frequency of CRC among African-Americans [12]. Studies have shown that these environmental risk factors include mainly smoking and alcohol consumption and dietary factors such as excessive consumption of fat and meat [15]. In 2014, the age-standardized incidence rate of CRC in white Americans was 43.2 and in black Americans was 55.4 per 100,000 population [12]. It has also been shown that there is an increase in CRC in older individuals in Zimbabwe emphasizing the importance of these environmental factors [13].

Changes in the traditional Ugandan diet and the adoption of a Western diet, especially in urban areas of Uganda may be the environmental factors responsible for this increase in the incidence rate of CRC [14] Dietary changes such as the increased consumption of cooked meat and processed meat together with a reduction in high-fibre foods may be responsible [14]. Lifestyle changes such as smoking and alcohol consumption and an increase in the incidence of no communicable diseases such as diabetes are also risk factors that may be responsible for the steady increase in CRC in our environment [77, 78]. To our knowledge in Uganda, no study has investigated the relationship between dietary factors and CRC. Therefore, the objective of our study was to investigate the relationship between dietary factors and CRC in an indigenous population in East Africa.

Methodology

Study Setting

This was a case-control study in which cases and controls were block matched for age (±5 years) and matched for sex.

Study Setting

The study was conducted in four specialized hospitals in central Uganda. These included Masaka Regional Referral Hospital, Mulago National Referral Hospital, Uganda Martyrs’ Hospital Lubaga and Mengo Hospital.

Study Sample

During the study period from September 2019 to September 2021, consecutive case participants with a histologically proven diagnosis of colorectal adenocarcinoma were recruited prospectively. Controls were randomly selected participants who were non-relatives visiting the case participants and other patients with other conditions in the same surgery wards. The participants were ethnically and socioeconomically diverse, representing the diversity of the Ugandan population and the patient population that comes to the four specialized hospitals in central Uganda.

There were two control participants for every case participant recruited to increase the power of this study, and the controls came from the same catchment as the cases. Controls had a negative faecal occult blood test before final enrolment and were block matched for age (±5 years) and matched for the sex of the case participants. To minimize the genetic, environmental and dietary exposure correlation between cases and controls, which would inflate the sample size, non-relative controls were chosen in this study.

Selection Criteria for Participants

Case participants who had incident histologically proven colorectal adenocarcinoma and were able to provide written informed consent were included. Duplicate cases and case participants in poor health that may interfere with established patterns of care were excluded.

The inclusion criteria for controls included participants with a negative faecal occult blood test who were able to provide written informed consent. Controls had no type of cancer as determined from their general physical examination and medical history. Relatives of case participants and participants testing positive for faecal occult blood were excluded as controls. Participants not willing to provide faecal samples for faecal occult blood testing were also excluded as controls.

Those control participants who tested positive for faecal occult blood were excluded and referred for a colonoscopy to the endoscopy units in the respective hospital sites.

Study Variables

The study variables were obtained through the history taken from all the study participants using a precoded, pretested and validated interview-administered questionnaire. The study questionnaire was adopted from a similar case-control study in Egypt [79] with a modification to include indigenous Ugandan food. The same interview-administered questionnaire was used for case and control participants. The variables include age, sex, type and frequency of meat consumed (either 4x and above/week or 2-3x/week or 1x/week or never) and the type and frequency of fibre consumed (either 4x and above/week or 2-3x/week or 1x/week or never). The frequency of these consumed foods was obtained during the last 12 months.

Age was block matched (±5 years) for case and control participants, while sex was matched for case and control participants. Other variables obtained from the same validated interview-administered questionnaire included smoking status, alcohol status, body mass index (BMI) and residence.

Quality Assurance and Laboratory Methods

The diagnosis of invasive colorectal adenocarcinoma was confirmed on hematoxylin and eosin staining of the tissue slides. The histopathological type and grade were determined on all the tissue slides. Two experienced consultant pathologists read all the tissue slides for each case participant.

Data Analysis

We conducted data analysis using STATA version 14.0 where we summarized categorical variables by percentages. During bivariate analysis, we used either conditional or ordinal logistic regression models to establish relationships between high-fibre foods or meats (variables) and CRC status. We then included high-fibre foods or meats with a p-value of 0.20 at bivariate into a multivariable model by forward selection in a stepped wedge manner. We reported variables with a p-value less than 0.05 in the multivariable analysis as independently associated with CRC status after adjusting for alcohol status (whether or not a respondent consumes), smoking status (whether or not a respondent smokes), residence (rural and urban) and body mass index (BMI).

Results

There were 128 CRC case participants and 256 control participants. The mean age (IQR) for the case participants was 55.5 (43-67.5) years, and that of the control participants was 54 (42-65) years.

The male:female ratio for all the participants was 1:1 (Table 1).

Table 1: Basic characteristics of the study participants.

Characteristic

Categories

Cases (n)

Cases (%)

Controls (n)

Controls (%)

Sex

Male

63

49.2

128

50

Female

65

50.8

128

50

Median (IQR) age

 

55.5 (43-67.5)

54 (42-65)

Age Groups (years)

<20

3

2.3

5

2

20-39

20

15.6

44

17.2

40-59

53

41.4

110

43

60+

52

40.6

97

37.8

BMI (kg/m2)

<25

69

53.9

192

75

25-29.9

40

31.3

44

17.2

≥30

19

14.8

20

7.8

Residence

Rural

10

7.8

218

85.2

Urban

118

92.2

38

14.8

Alcohol Status

Yes

45

35.2

40

15.6

No

83

64.8

216

84.4

Smoking Status

Yes

19

14.8

27

10.5

No

109

85.2

229

89.5

There were 19(14.8%) case participants and 20 (7.8%) control participants with a BMI of ≥30kg/m2. One hundred and eighteen (92.2%) case participants compared to 38 (14.8%) control participants lived in an urban residence. Forty-five (35.2%) case participants compared to 40(15.6%) control participants drank alcohol whilst 19 (14.8%) case participants and 27 (10.5%) control participants smoked cigarettes (Table 1).

Table 2 shows the crude odds ratios for the relationship between CRC status and types of meat, while Table 3 shows the crude odds ratios for the relationship between CRC status and high-fibre foods.

The following observations were made on the type and frequency of meat consumed in the bivariate analysis. Compared to individuals who never consumed roast chicken, those who consumed roast chicken once and 2-3 times a week were 1.88 (cOR: 1.88; p=0.008) and 1.95 (cOR: 1.95; p=0.073) times more likely to have CRC. Individuals who consumed fried chicken 2-3 times a week were 3.10 (cOR: 3.10; p=0.003) times more likely to have CRC compared to those who never consumed fried chicken. Compared to individuals who never consumed boiled chicken, those who consumed boiled chicken once and 2-3 times a week were 1.68 (cOR: 1.68; p=0.025) and 2.31 (cOR: 2.31; p=0.054) times more likely to have CRC (Table 2).

Consumption of boiled beef at a frequency of 2-3 times a week and 4 times and above every week were 2.98 (cOR: 2.98; p=0.001) and 2.15 (cOR: 2.15; p=0.078) times more likely to develop CRC compared to no consumption of boiled beef. Table 1 shows that consumption of roasted lamb, fried pork, and roasted pork was associated with an increased likelihood of having CRC; however, they did not reach statistical significance (Table 2).

Table 2: Relationship between the consumption of different types of meats and CRC status.

Characteristic(s)

Categories

cOR

95% CI

 

p-value*

Roast Chicken

Never

1

 

 

 

1x a week

1.88

1.18

3.01

0.008

2-3x a week

1.95

0.94

4.04

0.073

4+ x a week

-

-

-

-

Fried Chicken

Never

1

 

 

 

1x a week

1.42

0.89

2.26

0.142

2-3x a week

3.1

1.48

6.47

0.003

4+ x a week

0.51

0.06

4.37

0.538

Boiled Chicken

Never

1

 

 

 

1x a week

1.68

1.07

2.64

0.025

2-3x a week

2.31

0.99

5.41

0.054

4+ x a week

-

-

-

-

Boiled beef

Never

1

 

 

 

1x a week

0.96

0.51

1.79

0.889

2-3x a week

2.98

1.58

5.59

0.001

4+ x a week

2.15

0.92

5.02

0.078

Roast Lamb

Never

1

 

 

 

1x a week

0.77

0.33

1.78

0.537

2-3x a week

2.08

0.49

8.85

0.319

4+ x a week

4.65

0.41

53.26

0.217

Fried Pork

Never

1

 

 

 

1x a week

1.27

0.79

2.03

0.317

2-3x a week

1.12

0.51

2.46

0.783

4+ x a week

0.72

0.14

3.59

0.688

Roast Pork

Never

1

 

 

 

1x a week

1.06

0.59

1.9

0.846

2-3x a week

1.33

0.49

3.55

0.576

4+ x a week

1.55

0.34

6.94

0.57

*p-values obtained using a conditional logistic regression model.

Table 3: Relationship between the different types of high fibre foods and CRC status.

Characteristic(s)

Categories

cOR

95% CI

p-value*

Cassava

Never

1

 

 

 

1x a week

1.11

0.55

2.24

0.767

2-3x a week

1.1

0.55

2.22

0.779

4+ x a week

0.53

0.27

1.01

0.052

Millet

Never

1

 

 

 

1x a week

0.62

0.34

1.12

0.114

2-3x a week

0.65

0.34

1.24

0.191

4+ x a week

0.39

0.21

0.7

0.002

Beans

Never

1

 

 

 

1x a week

0.44

0.14

1.33

0.146

2-3x a week

0.36

0.12

1.03

0.057

4+ x a week

0.44

0.16

1.22

0.117

Rice

Never

1

 

 

 

1x a week

1.03

0.5

2.13

0.93

2-3x a week

0.79

0.38

1.66

0.534

4+ x a week

0.46

0.22

0.93

0.032

Maize

Never

1

 

 

 

1x a week

0.82

0.42

1.61

0.567

2-3x a week

0.7

0.35

1.39

0.303

4+ x a week

0.74

0.37

1.47

0.39

Matooke

Never

1

 

 

 

1x a week

0.82

0.32

2.1

0.676

2-3x a week

0.71

0.31

1.63

0.419

4+ x a week

0.9

0.46

1.75

0.758

Sorghum

Never

1

 

 

 

1x a week

0.76

0.36

1.6

0.47

2-3x a week

1.46

0.63

3.33

0.375

4+ x a week

0.46

0.13

1.62

0.228

Cabbage

Never

1

 

 

 

1x a week

0.72

0.4

1.27

0.255

2-3x a week

0.61

0.48

1.75

0.799

4+ x a week

0.59

0.29

1.21

0.151

Potatoes

Never

1

 

 

 

1x a week

1.03

0.54

1.98

0.919

2-3x a week

0.61

0.32

1.15

0.129

4+ x a week

0.66

0.34

1.28

0.221

Spinach

Never

1

 

 

 

1x a week

0.69

0.36

1.31

0.254

2-3x a week

0.63

0.35

1.13

0.122

4+ x a week

0.6

0.31

1.19

0.146

Green Peppers

Never

1

 

 

 

1x a week

1.01

0.55

1.83

0.983

2-3x a week

0.73

0.4

1.35

0.318

4+ x a week

0.76

0.43

1.32

0.324

Banana

Never

1

 

 

 

1x a week

0.4

0.15

1.03

0.058

2-3x a week

0.42

0.17

1.07

0.069

4+ x a week

0.38

0.15

0.93

0.034

Watermelon

Never

1

 

 

 

1x a week

0.61

0.36

1.06

0.077

2-3x a week

0.76

0.42

1.36

0.348

4+ x a week

0.84

0.43

1.64

0.613

Oranges

Never

1

 

 

 

1x a week

0.84

0.52

1.36

0.489

2-3x a week

0.92

0.46

1.87

0.824

4+ x a week

0.75

0.38

1.48

0.412

Mangoes

Never

1

 

 

 

1x a week

0.67

0.36

1.22

0.187

2-3x a week

0.67

0.35

1.3

0.234

4+ x a week

0.62

0.31

1.26

0.186

*p-values obtained using a conditional logistic regression model.

Table 3 shows the observations which were made on the type and frequency of high-fibre foods consumed in the bivariate analysis. Compared to individuals who never consumed cassava, those who consumed 4 times and above/weekly cassava were less likely to be cases of CRC (cOR: 0.53; p=0.052), although statistical significance was borderline (Table 3). Consumption of millet was protective against the development of CRC and at a frequency of 4x and above/weekly reached statistical significance (cOR: 0.39; p=0.002). The same trend was seen with rice and bananas when consumed at 4x and above/weekly. Rice was protective against CRC when consumed at a frequency of 4x and above/weekly (cOR: 0.46; p=0.032). Bananas were also protective against CRC when consumed at a frequency of 4x and above/weekly (cOR: 0.38; p=0.034) (Table 3).

The other high-fibre foods, in particular beans, maize, matooke, sorghum, cabbage, potatoes, spinach, green peppers, watermelon, oranges and mangoes, also had a protective effect against CRC but did not reach statistical significance (Table 3).

Table 4: Factors associated with CRC status in the multivariable model.

Characteristic(s)

Categories

aOR

95% CI

p-value*

Boiled beef

Never

1

     

1x a week

1.7

0.61

4.78

0.311

2-3x a week

3.24

1.08

9.69

0.035

4+ x a week

1.73

0.45

6.72

0.428

Fried Chicken

Never

1

     

1x a week

0.94

0.41

2.12

0.877

2-3x a week

0.84

0.25

2.84

0.774

4+ x a week

0.28

0.02

5.24

0.395

Rice

Never

1

     

1x a week

1.56

0.45

5.32

0.482

2-3x a week

1.14

0.32

4

0.838

4+ x a week

0.67

0.2

2.21

0.513

Cassava

Never

1

     

1x a week

0.76

0.24

2.38

0.643

2-3x a week

0.85

0.26

2.78

0.79

4+ x a week

0.38

0.12

1.18

0.093

Millet

Never

1

     

1x a week

0.46

0.17

1.24

0.125

2-3x a week

0.53

0.18

1.54

0.242

4+ x a week

0.23

0.09

0.62

0.003

Spinach

Never

1

     

1x a week

0.74

0.27

2.07

0.57

2-3x a week

0.61

0.21

1.73

0.349

4+ x a week

0.32

0.11

0.97

0.043

Potatoes

Never

1

     

1x a week

0.55

0.17

1.8

0.321

2-3x a week

0.3

0.09

0.97

0.044

4+ x a week

0.7

0.22

2.23

0.542

*p-values obtained using an ordinary logistic regression model.

In the multivariate analysis the following findings were observed. Boiled beef was associated with an increased likelihood of developing CRC especially when consumed at a frequency of 2-3 times/week (aOR: 3.24; p=0.035) (Table 4). The following high-fibre foods were protective against CRC when eaten at a frequency of 4 times and above/week and reached statistical significance. These high-fibre foods included millet (aOR: 0.23; p=0.003) and spinach (aOR: 0.32; p=0.043). Consumption of potatoes at a frequency of 2-3 times/week had a protective effect against CRC and this reached statistical significance (aOR: 0.30; p=0.044) (Table 4).

Discussion

This case-control study assessed the dietary practices and types of food that may promote or protect against CRC in Uganda. Our results showed that intake of red meat, particularly boiled beef, was associated with an increased relative risk for the development of CRC. The intake of millet and spinach was inversely associated with the risk of developing CRC.

High Fibre Foods

Our study showed that the consumption of food rich in dietary fibre such as spinach, has an inverse relationship to the development of CRC, and these findings have been supported by previous epidemiological studies [15-20]. Other high-fibre foods, such as beans, cabbage, matooke, bananas, oranges and mangoes, were also protective against CRC; however, these effects did not reach statistical significance in our study.

Dietary fibre prevents the conversion of primary to secondary bile acids by binding to bile acids. It also results in the promotion of the excretion of bile acids into the colon and prevention of the reabsorption of bile acids. Short-chain fatty acids are produced from the fermentation of fibre by colon bacteria. These short-chain fatty acids cause apoptosis, which inhibits tumor development. Dietary fibre also increases faecal bulk and reduces insulin resistance, inflammatory markers and nitric oxide hence reducing any interaction between the colonic mucosa and the faecal mutagens [21]. Studies have found that green vegetables provide dietary fibre which has been found to be protective against CRC [22, 31]. However, the protective effect is determined by the type of fibre consumed with vegetable and fruit fibre having a high protective effect, while cereal fibre has a low protective effect [22].

Therefore, the possible mechanisms for dietary fibre protecting against CRC include (1) fermentation of dietary fibre and the formation of short-chain fatty acids in the colon such as proprionate, butyrate and acetate; (ii) a reduced colonic transit time; (iii) indigestible oligosaccharides and resistant starch reducing the ability of bile acids to act as carcinogens; (iv) folic acid from fruits reduces the risk of CRC; (v) selenium from cereals acts as a cofactor for glutathione peroxidase, which protects against oxidative tissue damage; and (vi) anticarcinogenic compounds in fruits and vegetables, including vitamin C, carotenoids, organosulfides, flavonoids, isothiocyanates, resveratrol and protease inhibitors [23].

The type of fibre consumed also determines the level of protection against CRC. Studies have consistently shown a protective role in fruit and vegetable fibre compared to cereal fibre, which offers no protection against CRC [24-28]. These findings are consistent with those in our study which showed that food rich in dietary fibre such as spinach was protective against CRC.

Vegetables

In East Africa, vegetables are consumed daily by rural populations due to their availability, affordability and accessibility, and they form part of the traditional diet. They include dark green leafy vegetables such as spinach and cassava leaves and cruciferous vegetables such as cabbage. Our study showed a reduced risk of CRC with spinach and cassava leaves. These vegetables have a high content of dietary fibre and are a rich source of folate, ascorbic acid, retinol and minerals such as magnesium and iron [29].

Folates suppress tumor cell proliferation and stabilize tumor suppressor genes, while ascorbic acid and retinol are antitumorigenic due to their antioxidant properties [30]. The main phytochemicals found in these vegetables include alkaloids, phenolic compounds, terpenoids and flavonoids, which are cytotoxic through inhibition of reactive oxygen species and prevent alteration of DNA. Induction of metabolism of 2-amino-1-methyl-6-phenylimidazo [4, 5-b] pyridine from the consumption of these cruciferous vegetables also has been shown in experimental studies to reduce CRC [31].

East African Staple Crops

Bananas (green bananas, matooke), cereals (sorghum, millet and rice) and tubers (cassava, potato) are the main staple foods in East Africa. Polyphenols, minerals and vitamins that have anticarcinogenic properties are present in these staple crops. Roots and tubers have a high content of non-digestible carbohydrates (NDCs), such as resistant starch and fibre [32]. Our study showed a tendency towards a reduced likelihood for CRC with these staple crops, particularly with two to three times/weekly consumption of potatoes.

Nonstarch and starch polysaccharides from these staple crops are anaerobically fermented by colonic bacteria to propionate, butyrate and acetate, which are short-chain fatty acids [32]. Butyrate promotes a normal phenotype in colonocytes and is the preferred substrate for these cells [39, 40-43]. Fermentation of resistant starch results in the production of butyrate, which is more protective against CRC than the nonstarch polysaccharides of dietary fibre [32-38].

The low pH in the colonic lumen favours gut microbiota to produce short-chain fatty acids, which suppress mutations, alter preneoplastic lesions and bind to carcinogens in the colon [39]. The interaction of colonocytes with short-chain fatty acids results in an improvement in host immunity through the regulation of cytotoxic cells, T helper cells and B cells, which result in suppression of inflammation [40]. Studies have shown a 40% reduction in the risk of colon cancer with a high intake of non-digestible carbohydrates from these staple foods [41].

Cassava tended to show a reduced likelihood for CRC however this did not reach statistical significance in our study. Cassava contains tamarin, which is a chemical responsible for producing hydrocyanide; hence, through this mechanism, it is protective against CRC. The toxicity from hydrocyanide causes the death of CRC cancer cells, and this finding has been found through in vitro experimental studies [42].

Millet was also protective against CRC in our study. Previous studies showed in vitro and in vivo that foxtail millet bran (FMBP) produced a secretory peroxidase against CRC [43]. Foxtail millet bran (FMBP) targets cell surface glucose-regulated protein 78 (csGRP78) which is abnormally located on CRC. FMBP also acts against the nucleotide-binding domain (NBD) of csGRP78 which interferes with the activation of STAT3 (signal transducer and activator of transcription 3) in CRC cells and results in the accumulation of reactive oxygen species and hence CRC cell growth inhibition [43].

In our study, maize was found to be protective against CRC; however, this did not reach statistical significance in bivariate analysis. Studies have shown that resistant starch from maize, compared to potato starch, produces more butyrate, which is preferable for colonocytes [33]. Our findings showed that the consumption of potatoes 2-3x weekly was protective, as it is a high fibre food which produces antioxidants and also short-chain fatty acids in particularly butyrate, with is preferable for colonocytes [33].

The Ugandan diet tends to consist of a variety of cassava, maize, potatoes and millet-based meals, and hence, these high-fibre foods tend to be protective against CRC.

Legumes

In East Africa, legumes, in particular beans, tend to be an important protein source in the diet. Beans contain phytoestrogens, which are anti-carcinogenic. Genistein, a phytoestrogen, mediates a cancer promotor EGF protein, which inhibits the proliferation of HT-29 colon cancer cells [44]. Flavanoids in legumes cause apoptosis of colon cancer cells, and the high folate content tends to be anti-carcinogenic.

Our study showed that beans are protective against CRC; however, the results did not reach statistical significance in the bivariate analysis. In Asians, high consumption of legumes has been found to reduce the development of CRC [45]. Hence, since meat which is high in protein is associated with CRC, substituting this food with legumes will potentially reduce the development of CRC, particularly in urban parts of Uganda.

Fruits

Although our study showed a reduced risk of CRC with fruits, it did not reach statistical significance in bivariate analysis, and this finding is consistent with findings from other studies that have not found significant associations [46-48]. A study from Switzerland showed an inverse relationship between citrus fruit intake and the risk of CRC [49].

The traditional African diet includes vegetable fruits such as green peppers and regular fruits including mango, watermelon and banana. These fruits contain phytochemicals such as phenols and flavonoids, minerals and vitamins A, B, C, D and E. Ascorbic acid has chemosensitizing properties against CRC cells and prevents tumour progression [50]. Tocopherol and retinol reduce epithelial cell proliferation and decrease the toxic effects of reactive oxygen species in the causation of colon cancer. The minerals selenium, zinc, phosphorous and magnesium increase the expression of antioxidant enzymes and have a protective role against CRC.

The stew base in East African countries includes green peppers which are rich in antioxidants [30]. The phytochemical, capsaicin in green peppers has been found to have proapoptotic, antiproliferative and cytotoxic effects against colo205 in experimental studies [51].

Migration studies have shown that the incidence of CRC in American blacks is comparable to that in Caucasians. Therefore, environmental dependence through the type of diet consumed plays an important role in the development of CRC. High-income income developed countries have high rates of CRC due to the high consumption of fat and processed meat with a low consumption of dietary fibre [52-54].

In rural Uganda, the typical diet is a carbohydrate-based type of meal that is consumed with vegetable-based soup. In this rural population, high-fibre foods and vegetables are the lunch and supper of many, and meat is seldomly eaten routinely.

Meats

In many parts of rural East Africa, the consumption of meat is low due to the high cost. This is in contrast to the urban population of East Africa which tends to more frequently eat cooked meat.

When meat is exposed to high temperatures there is an increased risk of CRC. Carcinogens known as heterocyclic amines are released when meat is cooked to high temperatures above 1800C for a long period of time [52-54]. In Uganda, proper refrigeration is not possible due to poor electricity supply. Therefore, for consumption and preservation many Ugandans deep fry meat in used oil. The highest amounts of polycyclic aromatic hydrocarbons originate from meat that is barbecued or grilled [54-56]. This is due to pyrolysis of fat that falls on the heat source forming smoke [60]. The major pyrolysis mutagens include pyridoindole, quino xalines and pyridoimidazole which are found in high heat over cooked beef [57].

Studies from North America have shown that well-done meat contains high amounts of heterocyclic amines (HCAs), which have been found to be carcinogenic and cause CRC [54]. In West Africa, some authors have alluded that charcoal-roasted meat also has carcinogenic properties [58,59]. However, meat intake constitutes a small part of the rural Ugandan diet, resulting in minimal exposure to HCAs and PAHs. Therefore, the exposure to these carcinogenic substances is not to the magnitude at which Caucasians tend to be exposed. This difference in diet may explain the lower incidence of colorectal carcinoma in Uganda and generally in East Africa compared to the western developed world.

In our study, we observed a positive relation between red meat consumption and the development of CRC, particularly for boiled beef. The consumption of this type of red meat was higher among the cases than among the controls. These findings are consistent with Santorelli et al., who carried out a systematic review and determined the association between the consumption of meat and CRC. This systematic review reported that increased consumption of meat increases the risk of CRC [60]. In another study conducted by Abdulbari et al., 20.9% of cases had a higher daily consumption of meat compared to only 17.1% of controls [61]. The World Cancer Research Fund International (WCRF) also reported an increased association with CRC from the consumption of 250g/day of meat [62, 63].

We did not find an association between roast pork, fried chicken, fried pork and roast lamb with the risk of CRC. Possible reasons may be due to information bias, which may have resulted from recall or misclassification bias which are limitations of case-control studies. Nondifferential misclassification may result from a cultural context whereby some cases might have stated that they do not eat pork or lamb when they actually do eat these types of meat. Alternatively, participants might have been likely to indicate eating meat in general terms without distinctively classifying the different types. As such, all the meats would have been clamped together as beef, further amplifying the misclassification of the exposure to different meats. These findings may be in contrast with a study conducted by Ahmed FE, which found that red meat is not a risk factor for CRC [64].

Diet

Humans are exposed through their diet to environmental anti-carcinogens and carcinogens, resulting in the mitigation or progression of different cancers [65]. Ugandan patients currently living in rural parts of the country eat a predominantly African diet, which is a high fibre carbohydrate-based diet and has been found to protect against the development of CRC [66]. This is in contrast to a Western diet, which consists predominantly of cooked meat, and fatty refined foods and is low in vegetables and fruits, which are high-fibre foods [66]. A study on African American patients showed that switching their western diet to a traditional African diet had an influence on colonic bacteria and consequently prevented the development of CRC [67].

The traditional African diet tends to modify colonic fermentation by bacteria, alters motility of the colon and has a protective effect against fibroblast growth factor 18, urokinase-type plasminogen activator receptor gene, telomere/telomerase-TERT, A33-transmembrane glycoprotein immunoglobulin, and cyclooxygenase-2 and carcinoma embryonic antigen receptors in CRC. Hence, this type of diet has a protective role against CRC [68]. Dennis Burkitt reported a low incidence of CRC in rural Africans and conceptualized the idea that the type of diet is linked to colon cancer. He suggested this because Africans eat a lot of fibre in the form of vegetables, fruits and grains with little consumption of meat in their diet [69]. Colorectal adenocarcinoma has been found to be prevalent in communities that have adopted a Western-type diet lacking in fruits, vegetables and fibre and rich in fat and red meat [69-76].

The findings from our study suggest that the intake of traditional high-fibre foods such as cassava and millet and the intake of green vegetables and spinach reduce the development of CRC, while the consumption of red meat in particular boiled beef increased the development of CRC. The Ugandan plant-based diet is a rich source of fibre, phytochemicals and vitamins, which results in a reduction in obesity and hence a reduction in the development of CRC. A reduction in the consumption of red meat, particularly beef, which contains high levels of cholesterol and saturated fats, will also reduce the development of CRC in the Ugandan population. The promotion of indigenous Ugandan diets which are vegetable and plant-based are protective and their consumption should be encouraged in our population.

In view of our findings, we recommend a nutritional educational programme to increase public awareness to limit the intake of red meat and encourage the intake of high-fibre vegetable and fruit diets due to their protective role. Educational programmes in primary health care facilities to promote adequate healthy nutrition should also be given importance in Uganda and generally in East Africa.

Conclusions

This study suggests that consumption of boiled red meat increases the risk of CRC, whilst intake of high-fibre foods such as millet, spinach and moderate consumption of potatoes may reduce the risk of CRC among Ugandans. In view of these findings, we recommend a nutrition education programme to increase public awareness regarding the protective role of a high-fibre diet and limit the intake of cooked meat. Educational programmes at primary health centres on nutrition and health promotion should therefore be considered in Uganda, and consumption of foods low in fibre such as meat should be reduced and replaced with vegetables and fruits. This dietary modification will have a significant impact on reducing the development of CRC in Uganda. Targeted CRC screening of patients with average risk factors for the disease should also be considered in our East African population.

Study Limitations

Case-control studies tend to be prone to selection bias. To minimize this bias, controls were recruited from the surgery departments of four different specialized hospitals with diseases that had no association with dietary factors. The cases and controls recruited from private hospitals may have had a higher socioeconomic status compared to those recruited from government hospitals; however, studies have shown an inverse association between the risk of CRC and the consumption of vegetables and fruits among individuals of different socioeconomic status [72]. Similar results from controls recruited from different hospital sources suggest that their selection did not affect the results.

The probability of selection bias was reduced in our study due to the high participation rate for both cases (98%) and hospital-derived controls (95%). Participants may recall dietary practices differently and recall bias tends to be a concern in case-control studies. The controls may have recalled their dietary consumption differently from cases as controls did not have malignant disease. If colorectal cancer patients were aware of their diagnosis, this may have led them to consciously change their well-being and health. Therefore, cases were interviewed very soon following diagnosis to reduce bias. To improve the comparability of recall between controls and cases, a standardized interview questionnaire method was used. Cognitively, it may be difficult to answer the usual frequency of consumption questions. Therefore, multiple recalls were obtained for all the participants to obtain a reliable estimate of the usual intake. An adjustment for many potential confounders was made, in particular for alcohol status, smoking status, residence and body mass index (BMI); however, residual confounding bias may have occurred due to poorly measured or unmeasured variables.

The interview-based questionnaire was a food frequency questionnaire which was prone to measurement error. In this questionnaire, there was also a limitation regarding the number of foods one may ask for and details about food preparation. Since the food frequencies were recalled from the participants during the last 12 months then this is a limitation since the CRC could have developed in the case participants before this time period.

Consuming sufficient and not excessive, essential nutrients, sources of energy and dietary fibre and not contaminants and toxins is necessary to attain optimal nutritional status. Dietary intake could possibly have been inadequate in some of our study participants. Although the type of food and frequency of consumption have been addressed, the quantity of food consumed was not considered in this study.

Apart from the type of meat consumed, the processing method used will produce different levels of risk. In East Africa, many foods are prepared at very high temperatures which are associated with an increased risk of CRC, compared to many parts of Europe where the cooking of meat is based on consumers’ preference as either half-done or well-done. Whilst this study found an increased risk of CRC with boiled beef and fried chicken it did not evaluate the effect of fried or grilled beef on CRC. Apart from chicken, the effects of the different cooking modalities for the other types of meat were not evaluated.

Studies have shown that a high intake of red meat and a positive energetic balance from a high intake of carbohydrates and total fat has been found to be associated with a significant increase in the risk of CRC. A positive synergic effect has also been found between high energy intake, physical inactivity and obesity and the incidence of CRC in other studies. However, in this study, another limitation is that energy intake from fat and carbohydrate consumption was not assessed and therefore we were unable to adjust for these key factors.

Declarations

Ethical Considerations

This work was part of the PhD study, which was approved by the Higher Degrees Research and Ethics Committee, School of Biomedical Sciences, College of Health Sciences, Makerere University (reference number: SBS-HDREC-630) and Uganda National Council for Science and Technology (reference number: HS-2574). Written informed consent was obtained from all participants included in the study before completing the questionnaire form. Written informed consent was obtained before obtaining a biopsy confirming colorectal adenocarcinoma on the case participants and before obtaining a faecal occult blood sample in control participants. Those control participants who tested positive for faecal occult blood were referred for screening investigations, particularly a colonoscopy, to rule out or confirm colorectal malignancy. All data pertaining to the research were kept as confidential as possible and did not identify any particular individual. The conduct of this study was in accordance with the principles outlined in the Declaration of Helsinki.

Consent for Publication

Consent was obtained from all the participants enrolled in this study.

Competing Interests

The authors declare that they have no competing interests. The authors declare no conflicts of interest.

Funding

The authors declare that they received no specific funding for this work. However, the corresponding author personally funded this part of his PhD research study. No payment was received by the authors to write and publish this part of the study.

Authors’ Contributions

Richard Wismayer conceived the concept and proposal, collected data, performed data analysis and wrote the first draft. Julius Kiwanuka performed data analysis and provided statistical support. Michael Odida and Henry Wabinga performed critical reviews of the manuscript for intellectual content. All authors approved the final manuscript for publication.

Acknowledgments

This study was part of the PhD work, which was approved by the Doctoral Committee and Higher Degrees Research and Ethics Committee of the School of Biomedical Sciences, College of Health Sciences, Makerere University for the corresponding author. Final approval of this research study was obtained from the Uganda National Council for Science and Technology.

The authors wish to thank the clinical staff and research assistants, particularly Dr. Sulaiman Ishaq Mahmud and Dr. Justus Atuhaire who recruited the participants from the Department of Surgery of Masaka Regional Referral Hospital, Mulago National Referral Hospital, Uganda Martyrs’ Hospital Lubaga and Mengo Hospital for their support in this research project.

References

  1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soejomataram I, Jemal A and Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: a cancer journal for clinicians, 2020 71: 209-249.
  2. Yue Xi, Pengfei Xu. Global colorectal cancer burden in 2020 and projections to 2040. Translational Oncology. 2021; 14: 1-7.
  3. Wabinga H, Nambooze S, Phoebe MA, Okello C, Mbus L, Parkin DM. et.al. Trends in the incidence of cancer in Kampala, Uganda 1991-2010. International Journal of Cancer. 2021; 148: 2129-3138.
  4. Bukirwa P, Wabinga H, Nabooze S, Amulen MP, Joko WY, Liu B, Parkin DM. et.al. Trends in the incidence of cancer in Kampala, Uganda, 1999 to 2015. International Journal of Cancer. 2021; 148: 2129-3138.
  5. Katsidzira L, Gangaidzo I, Thomson S, Rusakaniko S, Matenga J, Ramesar R, et al. The shifting epidemiology of colorectal cancer in Sub-Saharan Africa. Lancet Gastroenterol Hepatol; 2017:2: 377-383.
  6. Wesonga R, Guwatudde D, Bahendeka SK. Burden of cumulative risk factors associated with non-communicable diseases among adults in Uganda: evidence from a national baseline survey. Int. J. Equity Health. 2016; 195.
  7. Burden on non-communicable diseases on the rise in Uganda. WHO. 2016.
  8. Menghani A, Ssemugabo C, Pariyo G, Hyder AA, Rutebemberwa E, Gibson DG, et al. curbing the rise of noncommunicable diseases in Uganda: Perspectives of Policy Actors. Glob. Health Sci. Pract. 2021; 9: 149-159.
  9. Cronje L, Becker PJ, Paterson AC, Ramsay M. Hereditary non-polyposis colorectal cancer is predicted to contribute towards colorectal cancer in young South African blacks. S. Afr. J. Sci. 2009; 105.
  10. Umar A, Boland CR, Terdiman JP, Syngal S, de la Chapelle A, Ruschoff J et al. Revised Bethesda Guidelines for hereditary nonpolyposis colorectal cancer (Lynch syndrome) and microsatellite instability. J. Natl. Cancer Inst. 2004; 96: 261-268.
  11. Agrawal S, Bhupinderjit A, Bhutani MS, Boardman L, Nguyen C, Romero Y, Srinivasan R, Figueroa-Moseley C. et al. Committee of minority affairs and cultural diversity. American College of Gastroenterology. Colorectal cancer in African Americans. Am. J. Gastroenterol. 2005; 100: 515-523.
  12. Siegel PL, Miller KD, Jemal A. Cancer Statistics. CA Cancer J Clin. 2017; 67:7-30.
  13. Katsidzira L, Chokunonga E, Gangaidzo IT, Rusakaniko S, Borok M, Matsena Zingoni Z et al. The incidence and histo-pathological characteristics of colorectal cancer in a population based cancer registry in Zimbabwae. Cancer Epidemiol. 2016; 44: 96-100.
  14. Dijxhoorn DN, Boutall A, Mulder CJ, Ssebuufu R, Mall A, Kalungi S, Baigrie C, Goldberg PA, etal. colorectal cancer in patients from Uganda: A histopathological study. 2014; 19: 112-119.
  15. McGarr, Sean E DO; Ridlon Jason, Hylemon Philip. Diet, Anaerobic Bacterial metabolism and colon cancer. Journal of Clinical Gastroenterology; 2005; 39: 98-109.
  16. Bingham S. The fibre-folate debate in colorectal cancer. Proc. Nutr. Scoe. 2006; 65: 19-23.
  17. Lynn A, Collins A, Fuller Z, Hillman K, Ratcliffe B. Cruciferous vegetables and colorectal cancer. Proc. Nutr Soc. 2006; 65: 135-144.
  18. Scheppach W, Luehrs H, Menzel T. Beneficial health effects of low-digestible carbohydrate consumption. 2001; British Journal of Nutrition. 2001; 85: S23-S30.
  19. Peters U, Sinha R, Chatterjee N, Subar Af, Ziegler RG, Kulldorff M, Bresalier R, Weissfield JL, Flood A, Schatzkin , Hayes RB, et al. Dietary fibre and colorectal adenoma in a colorectal cancer early detection programme. The Lancet. 2003; 361: 1491-1495.
  20. Gonzalez C. Nutrition and Cancer. The current epidemiological evidence. British Journal of Nutrition. 2006; 96(S1): S42-S45.
  21. O’Keefe SJD, Kidd M, Espitalier-Noel G, Owira P. Rarity of colon cancer in Africans is associated with low animal product consumption, not fibre. The American Journal of Gastroenterology. 1999; 94: 1373-1380.
  22. Xu X, Shi J, WX Fang, XY Guo, LY Zhang, et al. Allium vegetables are associated with reduced risk of colorectal cancer: A hospital-based matched case-control study in China. Asia-Pacific Journal of Clinical Oncology. 2019; 15: 132-141.
  23. Irabor DO. Colorectal carcinoma: why is there a lower incidence in Nigerians when compared to Caucasians? Journal of Cancer Epidemiology. 2011; 5.
  24. Boyle P and J.S. Langman. “ABC of colorectal cancer epidemiology”, British Medical Journal; 2000; 321: 805-808.
  25. Kampman E, Slattery ML, Bigler J. “Meat consumption, genetic susceptibility and colon cancer risk: a United States Multicentre case-control study”, Cancer Epidemiology Biomarkers and Prevention; 1999; 8: 15-24.
  26. Alberts DS, Martinez ME, Rae DJ. “Lack of effect of a high-fibre cereal supplement on the recurrence of colorectal adenomas”. The New England Journal of Medicine; 2000; 342: 1156-1162.
  27. Schatzkin A, Lanza E, Corle D. “Lack of effect of a low-fat diet, high fibre diet on the recurrence of colorectal adenomas”. The New England Journal of Medicine; 2000; 342: 1149-1155.
  28. Ponz de Leon M. “Prevention and chemoprevention of colorectal neoplasms”, Digestive and Liver Disease; 2002; 34: 59-69.
  29. Marles R. Mineral nutrient composition of vegetables, fruits and grains: The content of apparent historical declines. Journal of Food consumption and analysis. 2017; 56: 93-103.
  30. Lima M and Silva G. Colorectal cancer: Lifestyle and dietary factors. Nutr. Hosp. 2005; 4: 235-241.
  31. Walters DG, Young PJ, Agus C, Knize MG, Boobis AR, Gooderham NJ and Lake BG, et al. Cruciferous vegetable consumption alters the metabolism of the dietary carcinogen 2-amino-1-methyl-6-phenylimidazo [4, 5-b] pyridine (PhIP) in humans. Carcinogenesis. 2004: 25: 1659-1669.
  32. Oluwatoyin BO, Viola A NNO, Elemo G, Deborah I, Ijeoma E, Olubunmi E, Adeyoju OA, Nnenna E, Maryam OA, et al. colorectal cancer in Africa: Causes, Dietary Intervention, and lifestyle change. International Journal of Nutrition 2021; 6: 21-34.
  33. Topping DL and Clifton PM. “Short-chain fatty acids and human colonic function: roles of resistant starch and nonstarch polysaccharides”. Physiological Reviews; 2001: 81: 1031-1064.
  34. Martin LJM, Dumon HJW, Lecannu G and Champ MMJ. “Potato and high-amylase maize starches are not equivalent producers of butyrate for the colonic mucosa. British Journal of Nutrition. 2000; 84: 689-696.
  35. Ahmed R, Segal I and Hassan H. “Fermentation of dietary starch in humans”, American Journal of Gastroenterology, 2000; 95: 1017-1020.
  36. Toden S, Bird AR, Topping DL and Conlon MA. “Resistant starch prevents colonic DNA damage induced by high dietary cooked meat or casein in rats”, Cancer Biology and Therapy, 2006; 5: 267-272.
  37. Young GP, Le Leu RK. “Resistant starch and colorectal neoplasia”. Journal of AOAC International 2004; 87: 775-786.
  38. Walters DG, Young PJ, Agus C, Knize MG, Boobis AR, Gooderham NJ and Lake BG. Cruciferous vegetable consumption alters the metabolism of the dietary carcinogen 2-amino-1-methyl-6-phenylimidazo [4,5-b] pyridine (PhIP) in humans. Carcinogenesis. 2004: 25: 1659-1669.
  39. Parada-Venegas D, De La Fuerte MK, Landskron G, Gonzalez MJ, Quera R, Dijkstra G, Harmsen HJ, Faber KN and Hermoso MA, et al. Short chain fatty acids (SCFAs)-mediated gut epithelial and immune regulation and its relevance for inflammatory bowel diseases. Frontiers in immunology. 2019; 10: 277.
  40. Kim CH. Control of lymphocyte functions by gut microbiota-derived short-chain fatty acids. Cellular and molecular Immunology; 2021; 18: 1161-1171.
  41. Prado S, Castro V, Ferreira G and Fabi J. Ingestion of non-digestible carbohydrates from plant source foods and decrease risk of colorectal cancer: A review of the biological effects and the mechanism of action. Frontiers in Nutrition. 2019; 6: 72.
  42. Marandola P, Bova K, Labib MA, Bonghi AL, Tiscione D, et al.“Cancer and nutrition in Africa in the postgenomic and proteomics era”, African Journal of Urology, 2004; 10; 178-197.
  43. Shan S, Niu J, Yin R, Shi J, Zhang L, Wu C, Li H, Liz. Peroxide from foxtail millet bran exerts anti-colorectal cancer activity via targeting all-surface GRP78 to inactivate STAT3 pathway. Acta Pharm Sin B. 2022; 12: 1254-1270.
  44. Qi W, Weber CR, Wasland K, Sarkovic SD. Genistein inhibits proliferation of colon cancer cells by attenuating a negative effect of epidermal growth factor on tumor suppressor FOXO3 actiity. BMC Cancer. 2011; 11: 1-9.
  45. Shin A, Lee J, Lee J, Park MS, Park JW, et al. Isoflavane and soyfood intake and colorectal cancer risk: a case-control study in Korea. PLOS ONE. 2015; 10: e0143228.
  46. Annema N, Heyworth JS, McNaughton SA, Iacopetta B, Fritschi L. Fruit and vegetable consumption and the risk of proximal colon, distal colon, and rectal cancers in a case-control study in Western Australia. J. Am. Diet Assoc. 2011; 111: 1479-90. Doi: 10.1016/i.iada.2011.07.008.
  47. Vogtmann E, Xiang YB, Li HL, Levitan EB, Yang G, et al. Fruit and vegetable intake and the risk of colorectal cancer: results from the Shanghai Men’s Health Study. Cancer Causes Control 2013; 24; 1935-1945.
  48. Park Y, Subar AF, Kipnis V, Thompson FE, MouwT, et al. Hollenbeck A, Leitzmann MF, Schatzkin A. Fruit and vegetable intakes and risk of colorectal cancer in the NIH-AARP diet and health study. Am. J. Epidemiol. 2007; 166: 170-80.
  49. Levi F, Pasche C, La Vecchia C, Lucchini F, Franceschi S. Food groups and colorectal cancer risk. Br. J. Cancer 1999; 79; 1283-1287.
  50. Pawlowska E, Szczepanska J, Blasiak J. Pro-and antioxidant effects of vitamin C in cancer in correspondence to its dietary and pharmacological concentrations. Oxid Med Cell Longev. 2019 Dec 24; 7286737.
  51. Lu HF, Chen YL, Yang JS, Yang YY, Liu JY, et al. Antitumor activity of capsaicin on human colon cancer cells in vitro and colo 205 tumour xenografts in vivo. Journal of agricultural and food chemistry; 2010; 58: 12999-13005.
  52. Kampman E, Slattery ML, Caan B, Potter JD. Calcium, vitamin D, sunshine exposure, dairy products and colon cancer risk (United States). Cancer causes control. 2000; 11; 459-466.
  53. Willett WC, Stampfer MJ, Colditz GA, Rosner BA, Speizer FE. Relation of meat, fat and fibre intake to the risk of colon cancer in a prospective study among women. N. Engl. J. Med; 1990; 13; 323: 1664-72.
  54. Barbatis C. The histopathology of colorectal cancer. Archives of Hellenic Pathology, 1995;
  55. Wu AH, Shibata D, Yu MC, Lai MY, Ross RK. “Dietary heterocyclic amines and microsatellite instability in colon adenocarcinomas”. Carcinogenesis; 2001; 22: 1681-1684.
  56. Wogan GN, Hecht SS, Felton JS, Conney AH, Loeb LA. “Environmental and chemical carcinogenesis”, Seminars in Cancer Biology, 2004; 14: 473-486.
  57. Alberts DS, Martinez ME, Roe DJ, Guillen-Rodriguez JM, Marshall JR, et al. Lack of effect of a high-fibre cereal supplement on the recurrence of colorectal adenomas. The New England Journal of Medicine; 2000; 342: 1156-1162.
  58. Olatunde Farombi E. Diet-related cancer and prevention using anticarcinogens. African Journal of Biotechnology; 2004; 3: 651-661.
  59. Emerole GO. Carcinogenic polycyclic aromatic hydrocarbons in some Nigerian foods. Bulletin of Environmental Contamination and Toxicology; 1980; 24: 641-646.
  60. Santorelli RL, Pierre F, Corpet DE. Processed meat and colorectal cancer: a review of epidemiologic and experimental evidence. Nutr. Cancer. 2008; 60: 131-44.
  61. Abdulbari B, Moore MA, Ali R, El Ayoubi HR. Impacts of family history and lifestyle habits on colorectal cancer risk: a case-control study in Qatar. Asian Pac. J. Cancer Prev. 2010; 11: 963-8.
  62. World Cancer Research Fund. American Institute for Cancer Research. Food, nutrition, physical activity and the prevention of cancer: a global perspective [Internet]. Washingon DC: AICR; 2007.
  63. Luo WP, Fang YJ, Lu MS, Zhong X, Chen YM, Zhang CX. High consumption of vegetable and fruit colour groups is inversely associated with the risk of colorectal cancer: a case-control study. British Journal of Nutrition. 2015; 113: 1129-1138.
  64. Ahmed FE. Effect of diet, life style, and other environmental/chemopreventive factors on colorectal cancer development, and assessment of the risks. J. Environ Sci Health C Environ. 2004; 22: 91-147.
  65. National Research Council. Carcinogens and anticarcinogens in the human diet. National Academy Press, Washington DC. 1996.
  66. Yang J, Yu J. The association of diet, gut microbiota and colorectal cancer: what we eat may imply what we get. Protein and Cell. 2018; 9: 474-487.
  67. Keefe SJ, Li JV, Lahti L, Ou J, Carbonero F, et al. Fat, fibre and cancer risk in African Americans and rural Africans. Nature communications; 2015; 6: 1-14.
  68. Makki K, Deehan E, Walter J, Backhed F. The impact of dietary fibre on gut microbiota in host health and disease. Cell Host and Microbe. 2018; 23: 705-715.
  69. Burkitt DP. Epidemiology of cancer of the colon and rectum. Cancer; 1971; 28: 3-13.
  70. Hill MJ. Cancer of the large bowel: human carcinogenesis. British Journal of Surgery. 1985; 72: S37-S39.
  71. Weisburger JH. Colon carcinogenesis: their metabolism and mode of action. Cancer. 1971; 28: 60-70.
  72. Oluwole OB, Nicholas-Okpara VAN, Gloria E, Ibekwe D, Eboagwu I, Elemo O, Aetutu AO, Efuribe N, Adefboyega MO. et.al. International Journal of Nutrition. 2021; 6: 21-34.
  73. Bernstein AM, Song M, Zhang X, Pan A, Wang M, Fuchs CS, Le N, Chan AT, Willett WC, Ogino S and Giovanucci EL. et.al. Processed and unprocessed red meat and risk of colorectal cancer: analysis of tumour location and modification by time. PLOS ONE. 2015; 10: e0135959.
  74. Hull R, Francies FZ, Oyomno M, Dlamini Z. Colorectal cancer genetics, incidence and risk factors: in search for targeted therapies. Cancer management and research. 2020; 12:9869.
  75. Ocvirk S, Wilson AS, Appolonia CN, Thomas TK, O’Keefe SJ. Fiber, fat, and colorectal cancer: new insight into modifiable dietary risk factors. Current gastroenterology reports. 2019; 21:1-7.
  76. Ocvirk S, O’Keefe SJ. Dietary fat, bile acid metabolism and colorectal cancer. InSeminars in Cancer Biology 2021; 73: 347-355.
  77. Katsidzira L, Laubscher R, Gangaidzo IT, Swart R, Makunike-Mutasa R, Manyanga T, Thomson S, Ramesar R, Matenga JA, Rusakaniko S. et.al. Dietary patterns and colorectal cancer risk in Zimbabwae: A population based case-control study. Cancer Epidemiol. 2018; 57: 33-38.
  78. Bigman G, Otieno L, Adebamowo SN, Adebamowo C. Dietary intake and cancer in Sub-Saharan Africa: A critical review of epidemiological studies. Nutr Cancer. 2022; 74: 2803-2814.
  79. Eman Mohamed Mahfouz, Refaat Raouf Sadek, Wafaa Mohammed Abdel-Latief, Fadia Abdel-Hamed Mosallem, Ebtesam Esmail Hassan, et al. the role of dietary and lifestyle factors in the development of colorectal cancer: case control study in Minia, Egypt. Cent Eur J Public Health 2014; 22: 215-222.