Literature DB >> 25473296

Impact of type 2 diabetes mellitus on the prognosis of early stage triple-negative breast cancer in People's Republic of China.

Fang-Jing Ma1, Zhe-Bin Liu2, Li Qu3, Shuang Hao2, Guang-Yu Liu2, Jiong Wu2, Zhi-Ming Shao2.   

Abstract

BACKGROUND: Type 2 diabetes mellitus (T2DM) is one of the most common chronic metabolic diseases. Increased cause-specific mortality and decreased disease-free survival (DFS) have been reported among cancer patients with T2DM compared with patients without T2DM, even after adjustments of other comorbidities. However, less is known about the impact of T2DM and other comorbidities on DFS in Chinese patients with early stage triple-negative breast cancer (TNBC). PATIENTS AND METHODS: We assessed patients who were newly diagnosed with early stage primary TNBC at the Department of Breast Surgery, Fudan University, from 2003 to 2011. Of the 1,100 TNBC patients, 865 female patients had invasive and early stage TNBC. The association of the variables in the T2DM and non-T2DM groups was compared using the Pearson's chi-square and independent t-tests. DFS was estimated using the Kaplan-Meier method. The effects of T2DM and other possible risk factors on DFS were assessed by Cox proportional hazards regression using univariate or multivariate analysis.
RESULTS: A total of 865 early stage primary TNBC cases were studied, including 104 (12.02%) subjects with T2DM. Metastatic or recurrent disease was detected in 24 (23.08%) patients in the T2DM group and 35 (4.60%) patients in the non-T2DM group. Patients with T2DM exhibited a significantly lower DFS than patients without T2DM (log-rank P<0.001). Similar results were observed when patients with positive lymph nodes were compared with patients with negative lymph nodes (log-rank P=0.003). T2DM was independently associated with a lower DFS after adjustments of other variables (adjusted hazard ratio, 7.719; 95% confidence interval, 4.304-13.843; P<0.001) and adjustments of lymph node positivity (adjusted hazard ratio, 2.407; 95% confidence interval, 1.391-4.166; P=0.002). The DFS rates at 2 years for the T2DM group and the non-T2DM group were 78% and 97%, respectively. The prognostic influence of T2DM was consistent across the subgroups, including subgroups by age (>50 or ≤50), menopausal status (post- or premenopausal), tumor size (>5 cm or ≤5 cm), lymph node involvement (positive or negative), and adjuvant chemotherapy (received or not) using the Kaplan-Meier method (log-rank P<0.05).
CONCLUSION: In the People's Republic of China, T2DM is an independent prognostic risk factor that indicates an increased likelihood of recurrence and metastasis in patients with early stage TNBC. The presence of T2DM should be taken into account when evaluating the risk for an early stage TNBC patient. More effective therapeutic regimens are needed for early stage TNBC patients with T2DM.

Entities:  

Keywords:  disease-free survival; highly aggressive breast cancer; hyperglycemia

Year:  2014        PMID: 25473296      PMCID: PMC4251575          DOI: 10.2147/OTT.S71095

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

The People’s Republic of China has one of the fastest growing rates of breast cancer in the world. In recent years, breast cancer incidence has increased at an annual rate of 3% in the People’s Republic of China, and breast cancer has become the most common cause of death among urban women. In many other countries also, breast cancer is a significant cause of death among women.1 Triple-negative breast cancer (TNBC) refers to a type of breast cancer that does not express estrogen receptors, progesterone receptors, or human epidermal growth factor receptor 2. Because of these characteristics, endocrine therapy and targeted therapy are not effective treatments for this highly aggressive form of breast cancer.2–4 Individuals with TNBC exhibit increased mortality compared with the individuals with other subtypes of breast cancer.5–7 Type 2 diabetes mellitus (T2DM) is one of the most common chronic metabolic diseases. This disease may result in serious conditions and has a poor prognosis.8,9 Malignant tumors may be associated with the chronic stimulation of high blood glucose to normal organs, which is induced by T2DM. As of 2008, 40% of all T2DM patients in the world live in the People’s Republic of China and India. T2DM is associated with many cancers, including breast cancer,10 pancreatic cancer, liver cancer,11–13 and bladder cancer.14 Increased cause-specific mortality and decreased disease-free survival (DFS) rates have been reported among cancer patients with T2DM compared with patients without T2DM, even after adjustments of other comorbidities.15 Early stage breast cancer patients with T2DM in Asia16 and America17 are also reported to exhibit a poor prognosis. The incidence of T2DM is increasing rapidly in the Chinese population as a whole, and T2DM is therefore expected to be common among breast cancer patients. The impact of T2DM on breast cancer patients has been studied extensively,18–22 and the clinical characteristics of TNBC patients with T2DM have also been discussed.23 However, less is known about the effects of T2DM and other comorbidities on the DFS outcomes of Chinese patients with early stage TNBC. Cancer treatment can be divided into three steps. Primary prevention is to eliminate or reduce possible carcinogenic factors and prevent the occurrence of cancer. Secondary prevention is to diagnose cancer in its early stage and treat it in a timely way. Tertiary prevention is to improve the quality of life, relieve the pain, and prolong the life. Secondary prevention of TNBC is as important as primary prevention. Therefore, we conducted this retrospective study to examine the influence of T2DM on the prognosis of early stage TNBC. If we can control the risk factors of poor prognosis in patients with TNBC, we can improve the survival and quality of life of these patients.

Patients and methods

Ethics

All samples were anonymously coded in accordance with local ethical guidelines, and written informed consent was obtained. This study was approved by the Review Board of Fudan University Shanghai Cancer Center and conforms to the principles outlined in the Declaration of Helsinki.

Data source

We assessed patients who were newly diagnosed with early stage primary TNBC at the Department of Breast Surgery, Shanghai Cancer Center (an affiliate of Fudan University) between 2003 and 2011. A total of 1,100 TNBC patients were identified histopathologically and treated. Of these, 235 patients had no follow-up data, and the remaining 865 female patients exhibited invasive early stage TNBC according to the criteria described by the World Health Organization (WHO) classification. T2DM and hypertension were diagnosed before the diagnosis of breast cancer, and all of these patients received standard treatment. Diagnoses were based on the following criteria: T2DM was diagnosed according to the WHO/International Diabetes Federation diagnostic criteria, which includes a fasting plasma glucose concentration greater than 7.0 mmol/L, a random plasma glucose concentration greater than 11.1 mmol/L, or a 2-hour plasma glucose concentration greater than 11.1 mmol/L during an oral glucose tolerance test. Hypertension was diagnosed using the following criteria: 1) patients with a clear medical history of hypertension who had a history of using antihypertensive medications; 2) patients with hypertension diagnosed according to the October 1999 Hypertension Alliance guidelines, with reference to the WHO/International Society of Hypertension guidelines (ie, patients who had at least three systolic blood pressures [not taken on the same day] of at least 140 mmHg and/or diastolic blood pressure measurements of at least 90 mmHg under quiet conditions, using a standard measurement method); and 3) patients in whom the diagnosis of renal hypertension and other secondary causes of hypertension had been ruled out. Among the TNBC patients, we collected the following variables from medical record review: age at the time of the first diagnosis of TNBC, menopausal status, tumor size, lymph node involvement, presence of lymphovascular invasion, histological grade, body mass index (BMI), blood pressure status, adjuvant chemotherapy status, and whether the patient had recurrent or metastatic disease or had died at the end of the follow-up period. Other basic data, including the specific pathological type and lifestyle data, were not analyzed in the present study because this information was not available in some cases. Follow-up information was recorded from outpatient department records and personal contact with the patient via mail and phone calls.

Statistical analyses

DFS was defined as the time from the first diagnosis of breast cancer to the initial occurrence of disease relapse (local, regional, or distant). Patients without any evidence of relapse or death were censored at the last date they were known to be alive. The Statistical Package for the Social Sciences 18.0 software package (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. Correlations among the variables in the T2DM and non-T2DM groups were determined using the Pearson’s chi-square and independent t-tests. DFS durations were estimated using the Kaplan–Meier method and compared using the log-rank test. The effects of T2DM and other possible risk factors on DFS were assessed by Cox proportional hazards regression using univariate or multivariate analysis, via the adjusted hazard ratio (HR) and the associated 95% confidence interval (95% CI). Adjusted HRs in subgroups defined by age (>50 or ≤50 years), tumor size (>5 or ≤5 cm), menopausal status (post- or premenopausal), lymph node involvement (positive or negative), and adjuvant chemotherapy status (chemotherapy or no chemotherapy) were determined to examine whether the effects of T2DM on DFS were consistent across different patient populations. A two-sided P-value (P≤0.05) was considered statistically significant.

Results

Demographics and clinical characteristics

A total of 865 early stage primary TNBC cases were studied, including 104 (12.02%) subjects with T2DM and 761 (87.98%) subjects without T2DM. The demographic and clinical characteristics for the two groups are presented in Table 1. The median follow-up time for this study was 32.46 months (range 1–120 months). Compared with patients without T2DM, patients with T2DM were older (mean age, 56.91 years vs 50.48 years; P<0.001), more likely to be postmenopausal (P<0.001), more likely to have hypertension (P<0.001), more likely to have a BMI ≥25 (P=0.04), and more likely to use adjuvant chemotherapy (P<0.001). Metastatic or recurrent disease occurred in 24 (23.08%) patients in the T2DM group and 35 (4.60%) patients in the non-T2DM group at the end of the follow-up period. It was not possible to determine the overall survival rates, as the mortality rates were low: 3 (0.40%) patients in the non-T2DM group died and 0 (0%) patients in the T2DM group died. Tumor size, lymph node involvement, presence of lymphovascular invasion, and histological grade did not differ significantly between the two study groups.
Table 1

Demographic and clinical characteristics of TNBC patients with and without T2DM

CharacteristicNon-T2DM (N=761)T2DM (N=104)t2P-value
Subgroups, N (%)
Age, years
 Mean50.4856.9131.087<0.001
 SE11.00311.292
Menopausal status
 Premenopausal424 (55.72)28 (26.92)30.403<0.001
 Postmenopausal337 (44.28)76 (73.08)
 Unknown00
Tumor size
 ≤5 cm432 (60.85)50 (56.82)0.5310.489
 >5 cm278 (39.15)38 (43.18)
 Unknown5116
Lymph node involvement
 Negative463 (60.84)74 (71.15)4.1340.052
 Positive298 (39.16)30 (28.85)
 Unknown00
Lymphovascular invasion
 Negative617 (81.08)79 (75.96)1.5230.235
 Positive144 (18.92)25 (24.04)
 Unknown00
Histological grade
 1–2289 (45.02)36 (46.15)0.0360.904
 3353 (54.98)42 (53.85)
 Unknown11926
BMI
 <25460 (61.17)51 (50.00)4.6630.04
 ≥25292 (38.83)51 (50.00)
 Unknown92
Hypertension
 No641 (84.23)69 (67.00)18.411<0.001
 Yes120 (15.77)34 (33.00)
 Unknown01
Adjuvant chemotherapy
 No419 (55.06)28 (26.92)29.005<0.001
 Yes342 (44.94)76 (73.08)
 Unknown00
Recurrence or metastasis
 No726 (95.40)80 (76.92)49.152<0.001
 Yes35 (4.60)24 (23.08)
 Unknown00

Abbreviations: TNBC, triple-negative breast cancer; T2DM, type 2 diabetes mellitus; SE, standard error; BMI, body mass index.

DFS for TNBC patients by T2DM and lymph node status: Patients with T2DM exhibited a significantly lower DFS rate than patients without T2DM (Figure 1; P<0.001). Similar results were observed when patients with positive lymph nodes were compared with patients with negative lymph nodes (Figure 2; P=0.003). The DFS rates at 2 years for patients with and without T2DM were 78% and 97%, respectively. The DFS rates at 2 years for patients with positive and negative lymph nodes group were 93% and 96%, respectively.
Figure 1

Kaplan–Meier estimates of DFS for TNBC patients with and without T2DM.

Abbreviations: DFS, disease-free survival; TNBC, triple-negative breast cancer; T2DM, type 2 diabetes mellitus.

Figure 2

Kaplan–Meier estimates of DFS for TNBC patients according to the lymph node involvement status.

Abbreviations: DFS, disease-free survival; TNBC, triple-negative breast cancer.

Univariate analysis of potential factors predicting DFS for TNBC patients: When risk factors predicting DFS for TNBC patients were considered individually, age >50, high blood sugar levels, postmenopausal status, positive lymph node involvement, and adjuvant chemotherapy all appeared to be associated with lower DFS rates (P<0.05; Table 2).
Table 2

Univariate analysis of potential factors predicting DFS for TNBC patients

VariablesDFS
P-valueHR95% CI
Age >500.0331.7871.048–3.049
Postmenopausal0.0171.8861.120–3.177
Tumor size >5 cm0.2081.4170.824–2.437
Positive lymph node involvement0.0042.1341.279–3.562
T2DM<0.0016.8094.022–11.526
Adjuvant chemotherapy0.0102.0001.183–3.381
Presence of lymphovascular invasion0.2111.5060.793–2.859
Histological grade ≥30.7160.8930.487–1.640
BMI ≥250.4481.2230.727–2.057
Hypertension0.0701.7240.957–3.106

Note: Bold values denote P≤0.05.

Abbreviations: DFS, disease-free survival; TNBC, triple-negative breast cancer; HR, hazard ratio; CI, confidence interval; T2DM, type 2 diabetes mellitus; BMI, body mass index.

Multivariate analysis of potential factors predicting DFS for TNBC patients: To verify that the potential risk factors were independent, we performed a multivariate analysis including factors that were significant in univariate analysis as well as another important risk factor, tumor size. After adjusting for age, blood sugar level, menopausal status, tumor size, lymph node involvement, and adjuvant chemotherapy status in the multivariate analysis, T2DM remained an independent predictor of lower DFS (Table 3; adjusted HR, 7.719; 95% CI, 4.304–13.843; P<0.001). Positive lymph node status also was an independent predictor of poor DFS (adjusted HR, 2.407; 95% CI, 1.391–4.166; P=0.002).
Table 3

Multivariate analysis of potential factors predicting DFS for TNBC patients

VariablesDFS
P-valueHR95% CI
Age >500.9671.0210.393–2.651
Postmenopausal0.6912.1660.048–97.518
Tumor size >5 cm0.0931.6050.925–2.784
Positive lymph node involvement0.0022.4071.391–4.166
T2DM<0.0017.7194.304–13.843
Adjuvant chemotherapy0.8380.6670.014–32.828

Note: Bold values denote P≤0.05.

Abbreviations: DFS, disease-free survival; TNBC, triple-negative breast cancer; HR, hazard ratio; CI, confidence interval; T2DM, type 2 diabetes mellitus.

Subgroup analysis: Furthermore, we wanted to investigate how T2DM affected each subgroup of interest using the Kaplan–Meier method. These results revealed that the negative influence of T2DM on prognosis was consistent across the following subgroups (log-rank P<0.05), including patients with age >50 or ≤50 (Figure 3A and B), tumor size >5 cm or ≤5 cm (Figure 3C and D), postmenopausal or premenopausal patients (Figure 3E and F), patients with positive and negative lymph nodes (Figure 3G and H), and patients who either received or did not receive adjuvant chemotherapy (Figure 3I and J). Multivariate analysis also verified these results and demonstrated that the ranges of the adjusted HRs were 3.525–19.086 for DFS in these groups, as shown in Table 4.
Figure 3

Kaplan–Meier estimates of DFS for TNBC patients between the non-T2DM and T2DM groups, according to age ≤50 (A) and >50 (B), pre- (C) and postmenopausal (D), tumor size ≤5 cm (E) and >5 cm (F), lymph node involvement negative (G) and positive (H), and minus (I) or plus (J) adjuvant chemotherapy.

Abbreviations: DFS, disease-free survival; TNBC, triple-negative breast cancer; T2DM, type 2 diabetes mellitus.

Table 4

Subgroup analysis of adjusted HR for DFS among TNBC patients with and without T2DM

SubgroupsP-valueHR (T2DM vs non-T2DM)95% CI
DFS
Age ≤500.0026.2031.957–19.656
Age >50<0.0019.6724.680–19.988
Premenopausal<0.0018.7423.224–23.700
Postmenopausal<0.0018.2773.935–17.411
Tumor size ≤5 cm<0.0017.0883.215–15.625
Tumor size >5 cm<0.0019.5733.980–23.028
Negative lymph nodes involvement<0.00119.0867.712–47.232
Positive lymph nodes involvement0.0113.5251.329–9.344
Non-adjuvant chemotherapy<0.0018.7423.224–23.700
Adjuvant chemotherapy<0.0018.2773.935–17.411

Note: Bold values denote P≤0.05.

Abbreviations: HR, hazard ratio; DFS, disease-free survival; TNBC, triple-negative breast cancer; T2DM, type 2 diabetes mellitus; CI, confidence interval.

Discussion

Intensive research on the diagnosis and prognosis of patients with breast cancer has been ongoing for some time. Clinicians have evaluated patient prognosis and the efficacy of treatment using histology, lymph node status, immune histochemical staining, and genetic analyses. However, due to the variable clinical manifestations of breast cancer treatment and the variable effects of different treatments, the aforementioned indicators alone cannot completely predict prognosis and outcomes. More indicators are needed to assist in systematic assessments. Variations in histology and the tumor microenvironment play important roles during tumor formation. Some diseases may induce microenvironment changes, such as an increase in growth factors, to increase the risk of recurrence and metastasis. We, therefore, performed this retrospective analysis to examine the prognosis of patients with T2DM and TNBC. The present study demonstrated that T2DM is an independent predictor of worse DFS in Chinese patients with early stage TNBC. This is the first study to investigate the association between T2DM and DFS in a Chinese population with early stage TNBC. Although previous studies have also reported that T2DM is associated with worse cancer outcomes, including higher mortality, recurrence, and metastasis rates,24–27 the particular influence of T2DM on early stage TNBC has not been established, because these prior studies did not specifically focus on this patient group. This retrospective study demonstrated that T2DM is an independent predictor of poor DFS in Chinese patients with early stage TNBC; however, the mechanism underlying this finding is unclear. A new study suggests that high insulin levels and insulin resistance increase the risk of breast cancer and indicate poor prognosis in patients with breast cancer. T2DM can promote the development of breast cancer by altering the insulin-like growth factor (IGF) and insulin signaling pathways.28 The first step in the activation of the insulin pathway is the interaction of insulin with the insulin receptor (IR). The IR plays an important role in activating the insulin pathway in breast cancer and its overexpression can induce the malignant transformation of mammary gland epithelial cells. Therefore, in subsequent studies, we will further investigate IGF and IR. There is a confirmed relationship between T2DM and an increased incidence of breast cancer.29–32 In our study, the proportion of patients with T2DM was 12.02%, which is similar to prior reports. T2DM generally occurs among older, postmenopausal women with other comorbidities such as hypertension and obesity. In the present study, patients with T2DM were older (P<0.001), more likely to be postmenopausal (P<0.001), more likely to exhibit hypertension (P<0.001), and more likely to be obese (P=0.04) compared with patients without T2MD. There were a greater number of patients with recurrent or metastatic disease in the T2DM group (P<0.001). In addition to T2DM, age (>50), postmenopausal status, lymph node positivity, and the use of adjuvant chemotherapy might also contribute to the prognosis of early stage TNBC patients. Although old age and postmenopausal patients represented a large proportion of the patients in the T2DM group, they were not independent prognostic factors for DFS. Only T2DM and the presence of lymph node involvement were independent prognostic factors. Positive lymph node status has been confirmed as an independent risk factor for worse DFS and overall survival (OS) in almost all types of breast cancer,33–35 especially in patients with TNBC.36 However, in the present study, we were not able to analyze the specific lymph node classification because of lack of data. Because of the characteristics of TNBC, the patients in this study received similar treatment, without endocrine or targeted therapy, which may explain why age (>50) and postmenopausal status were not independent risk factors for lower DFS when we adjusted for other demographics and clinical characteristics. Tumor size,33–35 histological grade,33–35 BMI,37–40 and blood pressure have been demonstrated to be correlated with DFS in early stage breast cancer. However, in the present study, we did not observe a significant correlation between these clinical factors and DFS. Several factors may explain this discrepancy. First, the study was highly selective, and patients with T2DM tended to be older; thus, other factors may have influenced prognosis in this group of patients. Second, the sample size may have limited our analysis. Finally, the data we gathered were somewhat limited, and there was some missing information. Furthermore, the prognostic influence of T2DM was consistent across almost all subgroups, including patients with age >50 or ≤50, patients with tumor size >5 cm or ≤5 cm, postmenopausal and premenopausal patients, patients with positive and negative lymph nodes, and patients who either did or did not receive adjuvant chemotherapy. The present study has several limitations that must be addressed. First, the association between T2DM and mortality was not discussed due to the following reasons: 1) all the patients included in the study had early stage disease; 2) preventive and treatment approaches are improving; 3) the follow-up time was relatively short (32.46 months), and most patients were enrolled after 2009, which may have limited the number of deaths observed; and 4) few of the participants died during the study period. The use of nationwide databases may have decreased the amount of missing data and the possibility of observational bias. Additionally, the use of nationwide databases would prevent the selection bias that is inherent in single-institution studies. Although our study has some limitations, we shall focus more attention on early stage TNBC in future studies.

Conclusion

In conclusion, among Chinese patients with early stage TNBC, T2DM is an independent prognostic risk factor that indicates a greater likelihood of recurrence and metastasis. T2DM should be considered when evaluating patients with early stage TNBC and choosing a treatment approach. Furthermore, early stage TNBC patients with T2DM require better therapeutic regimens. Controlling the factors that lead to a poor prognosis may improve the outcomes of patients with TNBC.
  40 in total

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Journal:  Am J Epidemiol       Date:  2004-06-15       Impact factor: 4.897

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1.  Prognosis of small cell lung cancer patients with diabetes treated with metformin.

Authors:  T Xu; G Liang; L Yang; F Zhang
Journal:  Clin Transl Oncol       Date:  2015-06-11       Impact factor: 3.405

Review 2.  Breast cancer in adolescents and young adults.

Authors:  Rebecca H Johnson; Carey K Anders; Jennifer K Litton; Kathryn J Ruddy; Archie Bleyer
Journal:  Pediatr Blood Cancer       Date:  2018-08-28       Impact factor: 3.167

3.  Metformin use improves the survival of diabetic combined small-cell lung cancer patients.

Authors:  Fanming Kong; Fangfang Gao; Honggen Liu; Liwei Chen; Rongxiu Zheng; Jianchun Yu; Xiaojiang Li; Geli Liu; Yingjie Jia
Journal:  Tumour Biol       Date:  2015-05-16

4.  Normalizing glucose levels reconfigures the mammary tumor immune and metabolic microenvironment and decreases metastatic seeding.

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Journal:  Cancer Lett       Date:  2021-05-28       Impact factor: 9.756

5.  Low glycemic index diet, exercise and vitamin D to reduce breast cancer recurrence (DEDiCa): design of a clinical trial.

Authors:  Livia S A Augustin; Massimo Libra; Anna Crispo; Maria Grimaldi; Michele De Laurentiis; Massimo Rinaldo; Massimiliano D'Aiuto; Francesca Catalano; Giuseppe Banna; Francesco Ferrau'; Rosalba Rossello; Diego Serraino; Ettore Bidoli; Samuele Massarut; Guglielmo Thomas; Davide Gatti; Ernesta Cavalcanti; Monica Pinto; Gabriele Riccardi; Edward Vidgen; Cyril W C Kendall; David J A Jenkins; Gennaro Ciliberto; Maurizio Montella
Journal:  BMC Cancer       Date:  2017-01-23       Impact factor: 4.430

6.  Modification effects of genetic polymorphisms in FTO, IL-6, and HSPD1 on the associations of diabetes with breast cancer risk and survival.

Authors:  Rui-Mei Zhu; Wei Lin; Wei Zhang; Jun-Ting Ren; Yi Su; Jian-Rong He; Ying Lin; Feng-Xi Su; Xiao-Ming Xie; Lu-Ying Tang; Ze-Fang Ren
Journal:  PLoS One       Date:  2017-06-07       Impact factor: 3.240

7.  High-concentration glucose enhances invasion in invasive ductal breast carcinoma by promoting Glut1/MMP2/MMP9 axis expression.

Authors:  Xian-Fu Sun; Ying-Bo Shao; Ming-Ge Liu; Qi Chen; Zhao-Jun Liu; Bin Xu; Su-Xia Luo; Hui Liu
Journal:  Oncol Lett       Date:  2017-03-13       Impact factor: 2.967

Review 8.  Cancer and comorbidity: The role of leptin in breast cancer and associated pathologies.

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9.  Metformin mediates induction of miR-708 to inhibit self-renewal and chemoresistance of breast cancer stem cells through targeting CD47.

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Review 10.  Diabetes mellitus and prognosis in women with breast cancer: A systematic review and meta-analysis.

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Journal:  Medicine (Baltimore)       Date:  2016-12       Impact factor: 1.817

  10 in total

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