Obesity and Risk of Recurrence in Patients With Breast Cancer Treated With Aromatase Inhibitors

Gut microbiota interact with breast cancer therapeutics to modulate efficacy

The gut microbiome, or the community of microorganisms residing in the gastrointestinal tract, has emerged as an important factor in breast cancer etiology and treatment. Specifically, the impact of gut bacterial populations on breast cancer therapeutic outcomes is an emerging area of research. The microbiota's role in modifying the pharmacokinetics of chemotherapy and endocrine-targeting therapies can alter drug efficacy and toxicity profiles. In addition, the gut microbiome's capacity to regulate systemic inflammation and immune responses may influence the effectiveness of both conventional and immunotherapeutic strategies for the treatment of breast cancer. Overall, while the bidirectional interactions between the gut microbiome and breast cancer therapies are still being studied, its impact is increasingly recognized. Future research may provide more definitive insights and help develop personalized therapeutic strategies to harness the microbiome to improve breast cancer treatment outcomes.

High Intelectin-1 Expression Associated with Aggressive Tumor Behavior and Worse Survival in Rectal Cancer

Background

Multimodal treatment involving preoperative chemoradiotherapy (CRT) followed by surgery is the current standard of care for rectal cancer. Despite advancements, the risk of recurrence, metastasis, and decreased survival remains high. This study aims to evaluate potential biomarkers to stratify prognosis in patients with rectal cancer undergoing preoperative CRT and surgery.

Methods

Through data mining of receptor-binding pathways in a published transcriptome for rectal cancer cases, ITLN1 was identified as the most relevant gene associated with poor response to chemoradiation (GO:0005102). Rectal cancer specimens (n = 343) collected between 1998 and 2017 were analyzed for ITLN1 expression using immunohistochemistry. The association between ITLN1 protein expression and clinicopathological features was assessed using Pearson's chi-square test. Survival outcomes based on ITLN1 expression were evaluated using the Kaplan-Meier method and compared with Log rank tests.

Results

ITLN1 immunoreactivity was significantly elevated in rectal tumor tissues. High ITLN1 expression was strongly associated with adverse clinicopathological features, including advanced post-treatment tumor status (T3-4; p = 0.001), post-treatment nodal status (N1-2; p < 0.001), vascular invasion (p = 0.017), perineural invasion (p = 0.001), and a lower degree of tumor regression (p = 0.009). Uni- and multivariable analyses revealed that high ITLN1 expression correlated with poorer disease-specific survival, local recurrence-free survival, and distant metastasis-free survival compared to low ITLN1 expression.

Conclusion

Elevated ITLN1 expression is significantly associated with aggressive tumor behavior and unfavorable survival outcomes in rectal cancer. These findings highlight ITLN1 as a potential prognostic biomarker and provide a foundation for future research into its role in rectal cancer progression and treatment response.

Metabolic syndrome is associated with breast cancer mortality: A systematic review and meta-analysis

BACKGROUND

This systematic review and meta-analysis assesses the association between metabolic syndrome and breast cancer (BC) outcomes in BC survivors.

METHODS

Systematic searches were carried out in PubMed and Embase using variations of the search terms: breast neoplasms (population), metabolic syndrome (exposure), and survival (outcome). Metabolic syndrome was characterized according to the American Heart Association, which includes the presence of three out of five abnormal findings among the risk factors: high blood pressure, high triglycerides, low high-density lipoprotein, high fasting glucose, and central obesity. Data were obtained from observational studies and randomized controlled trials that utilized survival statistics and reported survival ratios to investigate how the presence of metabolic syndrome at the time of BC diagnosis is associated with BC outcomes. Study data were independently extracted by two authors, and effect sizes were pooled using random-effects models.

RESULTS

From the 1019 studies identified in the literature search, 17 were deemed eligible. These encompassed 42,135 BC survivors. The pooled estimates revealed that BC survivors who had metabolic syndrome at the time of their BC diagnosis experienced increased risk of recurrence (HR 1.69, 95% CI: 1.39-2.06), BC mortality (HR 1.83, 95% CI: 1.35-2.49), and shorter disease-free survival (HR 1.57, 95% CI: 1.36-1.81) compared to BC survivors without metabolic syndrome.

CONCLUSIONS

Among BC survivors, metabolic syndrome was associated with inferior BC outcomes. This necessitates the creation of clinical guidelines that include metabolic screening for BC survivors. Further research should identify effective interventions to reduce the prevalence of metabolic syndrome among BC survivors to improve metabolic health and BC outcomes.

Mammographic features differ with body composition in women with breast cancer

OBJECTIVES

There are several breast cancer (BC) risk factors-many related to body composition, hormonal status, and fertility patterns. However, it is not known if risk factors in healthy women are associated with specific mammographic features at the time of BC diagnosis. Our aim was to assess the potential association between pre-diagnostic body composition and mammographic features in the diagnostic BC image.

MATERIALS AND METHODS

The prospective Malmö Diet and Cancer Study includes women with invasive BC from 1991 to 2014 (n = 1116). BC risk factors at baseline were registered (anthropometric measures, menopausal status, and parity) along with mammography data from BC diagnosis (breast density, mammographic tumor appearance, and mode of detection). We investigated associations between anthropometric measures and mammographic features via logistic regression analyses, yielding odds ratios (OR) with 95% confidence intervals (CI).

RESULTS

There was an association between high body mass index (BMI) (≥ 30) at baseline and spiculated tumor appearance (OR 1.370 (95% CI: 0.941-2.010)), primarily in women with clinically detected cancers (OR 2.240 (95% CI: 1.280-3.940)), and in postmenopausal women (OR 1.580 (95% CI: 1.030-2.440)). Furthermore, an inverse association between high BMI (≥ 30) and high breast density (OR 0.270 (95% CI: 0.166-0.438)) was found.

CONCLUSION

This study demonstrated an association between obesity and a spiculated mass on mammography-especially in women with clinically detected cancers and in postmenopausal women. These findings offer insights on the relationship between risk factors in healthy women and related mammographic features in subsequent BC.

CLINICAL RELEVANCE STATEMENT

With increasing numbers of both BC incidence and women with obesity, it is important to highlight mammographic findings in women with an unhealthy weight.

KEY POINTS

Women with obesity and BC may present with certain mammographic features. Spiculated masses were more common in women with obesity, especially postmenopausal women, and those with clinically detected BCs. Insights on the relationship between obesity and related mammographic features will aid mammographic interpretation.

Implications of obesity and insulin resistance for the treatment of oestrogen receptor-positive breast cancer

Breast cancer is the most common cancer in women, and incidence rates are rising, it is thought in part, due to increasing levels of obesity. Endocrine therapy (ET) remains the cornerstone of systemic therapy for early and advanced oestrogen receptor-positive (ER + ) breast cancer, but despite treatment advances, it is becoming more evident that obesity and insulin resistance are associated with worse outcomes. Here, we describe the current understanding of the relationship between both obesity and diabetes and the prevalence and outcomes for ER+ breast cancer. We also discuss the mechanisms associated with resistance to ET and the relationship to treatment toxicity.

Obesity Is an Independent Prognostic Factor That Reduced Pathological Complete Response in Operable Breast Cancer Patients

Background and Objectives: Obesity is a significant risk factor for the development of breast cancer (BC) and associated poorer outcomes. A pathological complete response (pCR) with neoadjuvant chemotherapy (NACT) correlates with improved long-term prognosis in BC patients. In this study, we aimed to investigate the predictive effect of obesity on achieving pCR following NACT. Methods: This single-center retrospective study included patients with operable BC who were treated with NACT. Patients were categorized based on their pre-chemotherapy body mass index (BMI), including non-obese (<30 kg/m2) and obese (≥30 kg/m2) groups, and pathological responses to NACT were compared. Results: A total of 191 female patients were included in this study; of these, 83 (43.4%) were obese and 108 (56.6%) were in the non-obese group. Obesity was more common in postmenopausal patients, and the median age of obese patients was significantly higher compared to non-obese patients. Patients in the obese group demonstrated significantly lower pCR rates compared to the non-obese group (30% vs. 45%, p = 0.03). The histological subtype assessment indicated that only in the HR-positive/HER2-negative patients was the pCR rate significantly lower in the obese group compared to the non-obese group (11% vs. 27%, p = 0.05). According to menopausal assessment, a significant difference in pCR rates was observed only among postmenopausal patients, with rates of 29% in the obese group compared to 52% in the non-obese group (p = 0.03). In logistic regression analysis, obesity (OR: 0.52, 95% CI: 0.28-0.97; p = 0.04) and a low Ki-67 score (HR: 2.7, 95% CI: 1.37-5.53; p = 0.003) were independently associated with a decreased rate of pCR. Conclusions: The impact of obesity on achieving pCR in BC patients undergoing NACT remains controversial. Our study revealed that obesity was an independently significant negative predictive factor for achieving pCR.

Impact of a Physical Exercise and Health Education Program on Metabolic Syndrome and Quality of Life in Postmenopausal Breast Cancer Women Undergoing Adjuvant Treatment with Aromatase Inhibitors

Background and Objectives: Adjuvant treatment with aromatase inhibitors (AIs) in breast cancer (BC) survivors can cause adverse effects such as metabolic syndrome (MS) (insulin resistance, central obesity, atherogenic dyslipidemia, and hypertension) associated with morbidity and premature mortality. We evaluate the effect of a multimodal program based on physical exercise and health education on MS and health-related quality of life (QoL) in postmenopausal women with BC under AIs. Methods: A total of 56 postmenopausal women, diagnosed with BC, aged 60 years or older (mean age 67.2 years) and on hormonal treatment with AIs, were included in the multimodal physical exercise and health education program, and evaluated before and after their participation. The assessment of the five criteria of the MS included the following: waist circumference, high blood pressure, fasting glucose, triglycerides, and high-density lipoprotein cholesterol. Two main instruments were used to evaluate the impact of the intervention on QoL: the EORTC QLQ C30 (questionnaire for cancers in general) and the EORTC QLQ BR23 (specifically for breast cancer patients). The EuroQol 5D (EQ-5D) was also used to compare these results. Results: The percentage of women meeting the MS criteria was 37.7% at baseline and fell to 15.1% at 3 months after the intervention (p = 0.02). The intervention significantly reduced hypertension (p < 0.001), central obesity (p < 0.001), and the concentration of triglycerides (p = 0.016). No significant changes were observed in fasting glucose and HDL concentration. A statistically significant improvement was found in QoL (on both the QLQ30 and BR23 scales). A multivariate regression model analysis identified marital status (being married) (95% CI: 1.728-131.615, p = 0.014), and percentage of attendance at health education sessions (95% CI: 1.010-1.211, p = 0.029) as positive predictive variables of improvement in MS. Conclusions: The implementation of multimodal, community-based programs of physical exercise and health education improve the prevalence of MS and specific criteria of MS and QoL in postmenopausal women with breast cancer receiving AI treatment.

The impact of body mass index on the progression-free survival of CDK 4/6 inhibitors in metastatic breast cancer patients

Aim: Endocrine therapy (ET) plus cyclin-dependent kinase (CDK) 4/6 inhibitors is a standard treatment for hormone receptor (HR) positive HER-2-negative metastatic breast cancer patients. In this study, we aimed to investigate the effect of body mass index (BMI) on progression-free survival (PFS) in patients receiving ET plus CDK 4/6 inhibitors.Materials & methods: Patients with metastatic HR-positive breast cancer receiving CDK 4/6 inhibitors were included in the study. A total of 116 patients were retrospectively evaluated. Patients were divided into three groups according to BMI level: normal weight (group 1) 18.5-24.9 kg/m2, overweight (group 2) 25-29.9 kg/m2 and obese (group 3): ≥30 kg/m2. Median follow-up was 10.83 months. Comparisons of PFS and BMI categories were performed by Kaplan-Meier curve and log-rank test.Results: PFS was 9.3 (5.3-13.4) months in normal weight patients and 11.1 (9.7-12.56) months in obese patients and was not reached in overweight patients. This difference was statistically significant (p = 0.02).Conclusion: Low BMI has been shown to have a negative prognostic effect on survival in patients with metastatic breast cancer and overweight patients had a longer PFS.

Obesity, dysbiosis and inflammation: interactions that modulate the efficacy of immunotherapy

Recent years have seen an outstanding growth in the understanding of connections between diet-induced obesity, dysbiosis and alterations in the tumor microenvironment. Now we appreciate that gut dysbiosis can exert important effects in distant target tissues via specific microbes and metabolites. Multiple studies have examined how diet-induced obese state is associated with gut dysbiosis and how gut microbes direct various physiological processes that help maintain obese state in a bidirectional crosstalk. Another tightly linked factor is sustained low grade inflammation in tumor microenvironment that is modulated by both obese state and dysbiosis, and influences tumor growth as well as response to immunotherapy. Our review brings together these important aspects and explores their connections. In this review, we discuss how obese state modulates various components of the breast tumor microenvironment and gut microbiota to achieve sustained low-grade inflammation. We explore the crosstalk between different components of tumor microenvironment and microbes, and how they might modulate the response to immunotherapy. Discussing studies from multiple tumor types, we delve to find common microbial characteristics that may positively or negatively influence immunotherapy efficacy in breast cancer and may guide future studies.

Exploring the multifaceted role of obesity in breast cancer progression

Obesity is a multifaceted metabolic disorder characterized by excessive accumulation of adipose tissue. It is a well-established risk factor for the development and progression of breast cancer. Adipose tissue, which was once regarded solely as a passive energy storage depot, is now acknowledged as an active endocrine organ producing a plethora of bioactive molecules known as adipokines that contribute to the elevation of proinflammatory cytokines and estrogen production due to enhanced aromatase activity. In the context of breast cancer, the crosstalk between adipocytes and cancer cells within the adipose microenvironment exerts profound effects on tumor initiation, progression, and therapeutic resistance. Moreover, adipocytes can engage in direct interactions with breast cancer cells through physical contact and paracrine signaling, thereby facilitating cancer cell survival and invasion. This review endeavors to summarize the current understanding of the intricate interplay between adipocyte-associated factors and breast cancer progression. Furthermore, by discussing the different aspects of breast cancer that can be adversely affected by obesity, this review aims to shed light on potential avenues for new and novel therapeutic interventions.

Lipid changes during endocrine therapy in early-stage breast cancer patients: A real-world study

BACKGROUND

Endocrine drugs may affect lipid metabolism in breast cancer (BC) patients. This study explores lipid changes in early-stage BC patients taking different endocrine drugs.

METHODS

The changing trend of blood lipid during endocrine therapy in 2756 BC patients from January 2013 to December 2021 was retrospectively analyzed. The changes in four lipid parameters were assessed by the Generalized Linear Mixed Model, including total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL-C), and high-density lipoprotein (HDL-C). These parameters were quantified at baseline and at 6, 12, 18, 24, 36, 48, 60, and 72 months after endocrine therapy initiation. Furthermore, a subgroup analysis according to menopausal status or medication types was conducted.

RESULTS

A total of 1201 patients taking aromatase inhibitors (AIs), including anastrozole (ANA), letrozole (LET), or exemestane (EXE), and 1555 patients taking toremifene (TOR) were enrolled. TC and TG levels showed a significantly elevated trend during 5 years of treatment (P < 0.05). HDL-C levels increased from baseline in the TOR group (P < 0.05). Compared with the postmenopausal AI group, the increasing trends of TC, TG, and LDL-C in the premenopausal AI group were more evident with the extension of time (β = 0.105, 0.027, 0.086, respectively). Within 3 years, TC, TG, and LDL-C levels in the ANA and LET groups were significantly higher than baseline (P < 0.05). Moreover, the levels of TG in the EXE group were significantly lower than that in the ANA or LET group (P < 0.05), but this significant difference disappeared after 3 years.

CONCLUSIONS

AIs significantly influenced lipid profiles more than TOR. AIs had a greater effect on blood lipids in premenopausal patients. Steroidal AIs (EXE) may affect lipid levels less than nonsteroidal AIs (ANA and LET).