Soy products versus breast cancer

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Hi All,

The below is pdf-available. It appears to say that there are good things in

soybean

products, and may offer other factors that may associate with breast cancer,

depending on the menopausal status, which may implicate the situation in CRers

with

alterations in their hormones. This may impact on the hormone-related cancers

of

both sexes generally? This may be extending the results beyond their merit.

Atsuage (deep fried tofu) being so related to menopausal status suggests that

deep-fried foods are not a good idea for CRers having reduced hormone levels?

Hirose K, Imaeda N, Tokudome Y, Goto C, Wakai K, Matsuo K, Ito H, Toyama T,

Iwata H,

Tokudome S, Tajima K.

Soybean products and reduction of breast cancer risk: a case-control study in

Japan.

Br J Cancer. 2005 Jun 7; [Epub ahead of print]

PMID: 15942624

http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve & db=pubmed & dopt=Abstra\

ct & list_uids=15942624 & query_hl=10

.... statistically inverse association between tofu or isoflavone intake and risk

of

breast cancer in Japanese premenopausal women, while no statistically

significant

association was evident with the risk among postmenopausal women.

.... Table 2 Distribution of selected dietary variables (intake/day) among breast

cancer cases and controls

....................................................

--------Cases Controls

................................................

--------Percentile Percentile

.....................................................

Nutritional factors and food items Mean 25 50 75 Mean 25 50 75

....................................................

Nutritional factors

Energy (kcal) 1831 1568 1791 2038 1859 1593 1835 2093

Total protein (g) 72.1 59.0 70.1 83.0 73.7 60.8 72.1 83.7

Total fat (g) 57.5 43.5 55.0 70.6 59.1 45.5 57.9 70.4

% of energy (%) 27.9 25.0 28.7 31.4 28.4 24.3 28.5 32.3

Carbohydrate (g) 252.9 220.8 243.6 279.7 254.7 217.5 249.8 289.7

Total dietary fibre (g) 14.4 11.4 13.6 16.7 14.8 11.5 14.2 17.2

Vitamin C (mg) 161.5 115.6 152.1 194.4 164.9 108.4 146.3 199.3

Vitamin E (mg) 10.1 7.9 9.7 12.1 10.3 8.1 10.0 12.1

Isoflavones (mg) 24.8 15.3 21.3 30.3 27.1 17.0 24.2 32.5

Food items

Meat and meat products (g) 60.7 36.4 55.7 77.9 67.0 38.6 61.6 90.0

Fish and fish products (g) 56.5 38.9 52.9 68.6 56.8 36.0 52.9 71.4

Green-yellow vegetables (g) 136.5 78.2 118.9 173.2 144.6 78.2 118.0 180.4

Other vegetables (g) 130.7 82.5 115.7 154.3 135.8 88.2 125.4 172.1

Fruit (g) 164.5 83.4 142.1 217.0 167.1 84.1 143.3 219.7

Dairy products (g) 200.2 87.1 189.3 274.3 199.0 96.8 188.9 265.0

Soybean products (g) 63.4 35.5 53.5 82.4 67.7 39.5 60.5 84.3

Tofu (soybean curd) (g) 39.0 20.0 29.0 50.0 41.7 23.0 35.0 52.0

Miso (fermented soybean paste) (g) 6.3 2.0 5.0 10.0 7.1 5.0 8.0 10.0

Atsuage (deep fried tofu) (g) 7.4 2.5 5.0 10.0 7.3 2.5 5.0 10.0

Aburage (thinly sliced deep fried tofu) (g) 1.7 0.6 1.2 3.0 1.7 0.6 1.2 2.4

Natto (fermented soybeans) (g) 9.2 4.0 7.2 10.0 10.3 4.0 8.0 16.0

Koyadofu (freeze dried tofu) (g) 1.9 0.0 0.0 4.0 2.0 0.0 0.0 4.0

Table 3 Odds ratios (ORs) and 95% confidence intervals (CIs) for breast cancer

according to food group intake by menopausal status

.......................................

-------Premenopausal women Postmenopausal women

-------OR for tertiles of food group intake (g/1000 kcal) OR for tertiles of

food

group intake (g/1000 kcal)

-------1 2 3P-value test 1 2 3 P-value test

......................................

Meat and meat products

Tertile median 24.3 38.4 54.4 13.7 29.4 45.7

Cases/controls 29/138 31/137 19/139 31/146 39/147 18/147

ORa 1.00 1.02 0.54 0.11 1.00 1.11 0.64 0.24

(95% CI) (0.54 –1.92) (0.26 –1.12) (0.62–2.02) (0.32–1.28)

Fish and fish products

Tertile median 14.8 25.6 38.5 18.2 30.6 45.4

Cases/controls 21/138 29/138 29/138 26/145 37/147 25/148

ORa 1.00 1.53 1.36 0.46 1.00 1.42 0.77 0.42

(95% CI) (0.74 –3.18) (0.65 –2.88) (0.75–2.66) (0.39–1.52)

Vegetablesb Tertile median 80.4 125.3 189.6 98.6 145.2 220.5

cases/controls 22/138 39/138 18/138 31/146 30/146 27/148

ORa 1.00 1.45 0.70 0.38 1.00 1.01 0.85 0.63

(95% CI) (0.76 –2.80) (0.32 –1.50) (0.54–1.89) (0.44–1.63)

Fruit

Tertile median 27.5 62.3 115.4 46.3 93.7 158.5

Cases/controls 28/139 29/136 22/139 24/146 32/147 32/147

ORa 1.00 1.08 0.65 0.24 1.00 1.21 1.38 0.34

(95% CI) (0.55 –2.10) (0.32 –1.33) (0.62–2.35) (0.71–2.69)

Dairy products

Tertile median 34.0 98.5 158.5 32.3 103.6 165.5

Cases/controls 30/139 22/136 27/139 22/146 31/147 35/147

ORa 1.00 0.91 0.73 0.37 1.00 1.54 1.64 0.15

(95% CI) (0.46 –1.79) (0.37 –1.45) (0.80–2.96) (0.84–3.20)

Soybean products

Tertile median 17.2 29.7 47.9 20.1 35.3 56.5

Cases/controls 36/139 23/137 20/138 31/146 28/147 29/147

ORa 1.00 0.60 0.53 0.06 1.00 0.87 0.70 0.28

(95% CI) (0.30 –1.18) (0.27 –1.04) (0.47–1.61) (0.37–1.33)

..........................................

a Adjusted for age, motives for consultation, smoking, drinking, exercise,

energy,

family history, age at menarche, parity, age at first full-term pregnancy, BMI

and

age at menopause for postmenopausal women.

b Included both green-yellow vegetabeles and other vegetables.

Table 4 Odds ratios (ORs) and 95% confidence intervals (CIs) for breast cancer

according to soybean product intake by menopausal status

.........................................

--------Premenopausal women Postmenopausal women

--------OR for tertiles of soybean product intake (g/1000 kcal) OR for tertiles

of

soybean product intake (g/1000 kcal)

--------1 23P-value test 1 2 3 P-value test

..........................................

Tofu (soybean curd)

Tertile median 8.9 17.1 31.3 10.8 19.6 35.9

Cases/controls 38/137 20/139 21/137 26/145 36/148 26/147

ORa 1.00 0.44 0.49 0.03 1.00 1.34 0.71 0.34

(95% CI) (0.22–0.90) (0.25–0.95) (0.73 –2.44) (0.36–1.39)

Miso (fermented soybean paste)

Tertile median 1.4 3.4 5.5 1.5 3.9 5.8

Cases/controls 30/137 30/137 19/136 37/145 23/147 28/147

ORa 1.00 1.14 0.58 0.15 1.00 0.52 0.64 0.11

(95% CI) (0.59–2.19) (0.28–1.20) (0.27 –0.98) (0.34–1.17)

Atsuage (deep fried tofu)

Tertile median 0.0 2.9 5.9 0.0 3.1 6.4

Cases/controls 29/139 24/137 26/138 20/146 33/146 35/148

ORa 1.00 0.67 0.70 0.31 1.00 1.95 2.28 0.02

(95% CI) (0.34–1.34) (0.35–1.38) (0.98 –3.86) (1.15–4.51)

Aburage (thinly sliced deep fried tofu)

Tertile median 0.0 0.5 1.4 0.3 0.7 1.9

Cases/controls 23/136 34/136 22/137 22/145 31/147 35/147

ORa 1.00 1.67 1.07 0.97 1.00 1.75 1.62 0.17

(95% CI) (0.82–3.40) (0.51–2.26) (0.89 –3.43) (0.83–3.14)

Natto (fermented soybeans)

Tertile median 1.2 3.7 8.7 1.3 4.0 10.8

Cases/controls 29/138 26/137 24/137 30/145 30/145 27/148

ORa 1.00 0.89 0.84 0.56 1.00 1.00 0.79 0.47

(95% CI) (0.46–1.74) (0.43–1.64) (0.54 –1.87) (0.41–1.51)

Koyadofu (freeze dried tofu)

Tertile median 0.0 1.9 3.6 0.0 2.1 4.2

Cases/controls 55/297 6/57 18/60 58/284 14/77 16/79

ORa 1.00 0.68 1.38 0.52 1.00 0.81 0.99 0.84

(95% CI) (0.27–1.73) (0.69–2.79) (0.40 –1.64) (0.50–1.97)

......................................

a Adjusted for age, motives for consultation, smoking, drinking, exercise,

energy,

family history, age at menarche, parity, age at first full-term pregnancy, BMI

and

age at menopause for postmenopausal women.

Table 5 Odds ratios (ORs) and 95% confidence intervals (CIs) for breast cancer

according to isoflavone intake by menopausal status

......................................

-----Premenopausal women Postmenopausal women

-----OR for tertiles of isoflavone intake (mg/1000 kcal) OR for tertiles of

isoflavone intake (mg/1000 kcal)

-----1 2 3 P-value test 1 2 3 P-value test

.....................................

Tertile median 7.61 11.87 18.47 8.69 13.59 22.26

Cases/controls 36/138 24/139 19/137 33/145 29/144 26/151

ORa 1.00 0.62 0.44 0.02 1.00 0.76 0.58 0.09

(95% CI) (0.32–1.20) (0.22–0.89) (0.41 –1.40) (0.30–1.10)

....................................

a Adjusted for age, motives for consultation, smoking, drinking, exercise,

energy,

family history, age at menarche, parity, age at first full-term pregnancy, BMI

and

age at menopause for postmenopausal women.

Al Pater, PhD; email: old542000@...

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