Reproductive and hormonal risk factors for luminal, HER2-overexpressing, and triple-negative breast cancer in Japanese women

Islam, Tania; Matsuo, Keitaro; Ito, Hidemi; Hosono, Satoyo; Watanabe, Miki; Iwata, Hiroji; Tajima, Kazuo; Tanaka, Hideo

doi:10.1093/annonc/mdr613

Cited by 39 publications

(47 citation statements)

References 33 publications

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“…Similar to the studies by Kabat et al (2011) and Islam et al (2012) the use of alcohol/tobacco was not related in the present study to an increased risk of metastasis with triple negative tumors, but did indeed lead to an increased risk with triple positive, double RH+ and above all RE-/RP+ tumors. Contrarily, a strong protective effect was apparently exercised by alcohol/tobacco use with double RH-/erbB2+ and double RH-tumors (Kabat et al, 2011;Islam et al, 2012).…”

Section: Discussionsupporting

confidence: 89%

“…It is known that the double RH-are less responsive to hormonal treatments and that, together with triple negative tumors, are more aggressive and have a graver prognosis (Phipps et al, 2008b;2008a;Reis-Filho and Tutt, 2008;Rakha and Ellis, 2009;Islam et al, 2012). Contrarily, the double RH+ respond better (Gonzalez-Angulo et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

“…Later, there was a boom in triple negative studies (Phipps et al, 2008b;2008a;Reis-Filho and Tutt, 2008;Rakha and Ellis, 2009;Li et al, 2013) that aimed to associate breast cancer with stress and the use of tobacco and alcohol (Tan et al, 2009b;Kabat et al, 2011;Islam et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

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Relation of Alcohol/Tobacco use with Metastasis, Hormonal (Estrogen and Progesterone) Receptor Status and c-erbB2 Protein in Mammary Ductal Carcinoma

León-Hernández

Padilla²,

Algara³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

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Relation of Alcohol/Tobacco use with Metastasis, Hormonal (Estrogen and Progesterone) Receptor Status and c-erbB2 Protein in Mammary Ductal Carcinoma

León-Hernández

Padilla²,

Algara³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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“…Almost all reproductive factors that influence estrogen levels are primarily associated with luminal-type tumors, but there is also some evidence related to risk for non-luminaltype tumors (Yang et al 2007;Yang et al 2011;Tamimi et al 2011;Islam et al 2012). For example, our recent study in Japanese suggested that age at menarche was inversely associated with the risk of both luminal and triple-negative breast cancer (Islam et al 2012). Similarly, the Polish Breast Cancer Study showed an association of earlier age at menarche with basal-like tumors only (Yang et al 2007).…”

Section: Discussionmentioning

confidence: 94%

“…One is a classic estrogen-dependent mechanism, in which obesity contributes to lower serum levels of sex hormone-binding globulin and higher circulating levels of endogenous estrogen (Potischman et al 1996). Almost all reproductive factors that influence estrogen levels are primarily associated with luminal-type tumors, but there is also some evidence related to risk for non-luminaltype tumors (Yang et al 2007;Yang et al 2011;Tamimi et al 2011;Islam et al 2012). For example, our recent study in Japanese suggested that age at menarche was inversely associated with the risk of both luminal and triple-negative breast cancer (Islam et al 2012).…”

Section: Discussionmentioning

confidence: 99%

Differential impact of body mass index and its change on the risk of breast cancer by molecular subtype: A case-control study in Japanese women

et al. 2012

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Body mass index (BMI) is an independent risk factor for luminal-type breast cancer in Western populations. However, it is unclear whether the impact of BMI differs according to breast cancer subtype in Japanese populations. We conducted a case-control study with 715 cases and 1430 age-and menopausal status-matched controls to evaluate the associations of BMI and its change (from age 20 years to the current age) with breast cancer risk. We applied conditional logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Tumor subtypes were divided into four subtypes, namely the luminal, luminal/HER2, HER2-rich, and triple-negative subtypes. Current BMI and BMI change were positively associated with postmenopausal breast cancer risk. On stratified analysis by tumor subtype, we observed associations between current BMI and BMI change and postmenopausal breast cancer risk for the luminal subtype, with OR for each 1 kg/m 2 increase in current BMI of 1.14 (95% CI: 1.07 -1.20) and the corresponding OR of BMI change of 1.16 (1.09 -1.23) (each P trend < 0.001). Additionally, we found the same tendency for the triple-negative subtype, with the OR for a 1 kg/m 2 increase in current BMI of 1.21 (1.05 -1.39) and that for BMI change of 1.18 (1.02 -1.36) (P trend was 0.008 and 0.024, respectively). In premenopausal women, a suggestive inverse association was observed between BMI change and breast cancer risk for the luminal subtype only, with OR of BMI change of 0.93 (0.87 -1.00, P trend = 0.054). No association was seen between BMI at age 20 years and risk of any tumor subtype. In conclusion, BMI and its change are associated with the risk of both luminal and triple-negative breast cancer among postmenopausal Japanese women. These findings suggest the etiological heterogeneity of breast cancer among tumor subtypes.

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Comparison of breast cancer risk factors among molecular subtypes: A case‐only study

et al. 2019

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Epidemiological studies have a clear definition of the risk factors for breast cancer. However, it is unknown whether the distribution of these factors differs among breast cancer subtypes. We conducted a hospital‐based case‐only study consisting of 8067 breast cancer patients basing on the Tianjin Cohort of Breast Cancer Cases. Major breast cancer subtypes including luminal A, luminal B, human epidermal growth factor receptor 2 (HER2)‐enriched and basal‐like were defined by estrogen receptor, progesterone receptor, HER2, and Ki‐67 status. Variables including demographic characteristics, reproductive factors, lifestyle habits, imaging examination, and clinicopathologic data were collected for patients. Chi‐square test and one‐way analysis of variance were used to compare the distributions of variables among the four breast cancer subtypes. Multivariate logistic regression was used to estimate the odds ratios and associated 95% confidence intervals where luminal A patients served as the reference group. Overall, more commonality rather than heterogeneity on the distributions of factors was found between the four molecular subtypes of breast cancer. The proportion of overweight and obesity were lower in HER2‐enriched subtype. Women with age at menarche ≤13 years were more likely to be found in basal‐like subtype. Postmenopausal women were more frequent in HER2‐enriched and basal‐like subtypes. Women with benign breast disease and higher breast density were more common in HER2‐enriched subtype. Risk factor scoring showed that total risk scores were similar among the four subtypes. HER2‐enriched and basal‐like subtypes were more frequently diagnosed with large tumors. Calcification was more likely to be found in luminal B and HER2‐enriched subtypes, whereas less distributed in basal‐like subtype. Most of the breast cancer risk factors were similarly distributed among the four major breast cancer subtypes; commonality is predominant.

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Reproductive and hormonal risk factors for luminal, HER2-overexpressing, and triple-negative breast cancer in Japanese women

Cited by 39 publications

References 33 publications

Relation of Alcohol/Tobacco use with Metastasis, Hormonal (Estrogen and Progesterone) Receptor Status and c-erbB2 Protein in Mammary Ductal Carcinoma

Relation of Alcohol/Tobacco use with Metastasis, Hormonal (Estrogen and Progesterone) Receptor Status and c-erbB2 Protein in Mammary Ductal Carcinoma

Differential impact of body mass index and its change on the risk of breast cancer by molecular subtype: A case-control study in Japanese women

Comparison of breast cancer risk factors among molecular subtypes: A case‐only study

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