Metabolic syndrome is a risk factor for breast cancer patients receiving neoadjuvant chemotherapy: A case-control study

Impact of distinct insulin index on neoadjuvant treatment of breast cancer: A clinical retrospective study

A combination of glucose and lipid metabolism, insulin resistance (IR) is correlated with the outcome of neoadjuvant treatment (NAT) for breast cancer. The purpose of this research sought to explore how IR affects breast cancer patients' reactions after NAT. We gathered 132 individuals with breast cancer who had surgery after NAT. Continuous values were analyzed using the Wilcoxon (Mann-Whitney) test and independent samples t test; pathological complete response (PCR)-related independent influencing factors were investigated using the binary logistic regression model; and the predictive value of each index on the effectiveness of NAT was assessed using subject work characteristics (receiver operating characteristic) curves. Compared with the non-PCR group, the PCR group's IR levels were lower. Baseline IR levels and NAT effectiveness did not significantly correlate, according to multifactorial logistic analysis (P > .05). Nevertheless, there was a negative correlation (P < .05) between PCR and total cholesterol (TC)/high-density lipoprotein (HDL) and MetS-IR levels following NAT. According to the receiver operating characteristic curve prediction model, TC/HDL had a greater predictive value than MetS-IR. Dynamic IR indicators (ΔTC/HDL and ΔMetS-IR) demonstrate predictive value for NAT response in breast cancer, mechanistically linked to lipid metabolism reprogramming and immunosuppressive tumor microenvironment. Future multicenter studies should validate optimal thresholds and investigate combined metabolic-immune targeted therapeutic strategies.

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.

Metabolic Syndrome Is Associated With Poor Prognosis in Patients With Breast Cancer Receiving Neoadjuvant Therapy

PURPOSE

Few studies with a large sample size are available on patients with metabolic syndrome (MetS) receiving neoadjuvant treatment (NAT) for breast cancer. This study aimed to investigate the impact of MetS on the prognosis of patients with breast cancer undergoing NAT.

METHODS

The data of patients with breast cancer receiving NAT at our center from January 2017 to December 2019 were retrospectively analyzed. A chi-square test and logistic regression model were applied to ascertain the factors associated with MetS and pathological complete response (pCR). The Cox proportional risk model was employed for univariate and multivariate analyses of disease-free survival (DFS) and overall survival (OS).

RESULTS

Of the 910 patients enrolled, 164 (18.0%) were diagnosed with MetS, 568 (62.4%) with stage II, and 342 (37.6%) with stage III. Postmenopausal status (p = 0.045) and stage III (p = 0.009) were associated with a higher incidence rate of MetS. MetS was associated with a lower pCR rate (p = 0.027). The 5-year DFS (83.7% vs. 73.1%, p = 0.001) and OS (92.8% vs. 85.5%, p = 0.001) of the non-MetS group were significantly better than those of the MetS group. In premenopausal women, the DFS (p = 0.001) and OS (p = 0.025) of the non-MetS group were significantly better than those of the MetS group. No significant differences were noted in DFS (p = 0.270) or OS (p = 0.078) between the two groups in postmenopausal women. In the Cox proportional risk model, MetS acted as an independent factor associated with DFS (HR = 1.705, 95% CI: 1.201-2.421, p = 0.003) and OS (HR = 1.874, 95% CI: 1.149-3.055, p = 0.012).

CONCLUSION

MetS was associated with poor prognosis in patients with breast cancer receiving NAT. Hence, close attention should be paid to patients with breast cancer who have MetS.

Link Between Metabolic Syndrome, Blood Lipid Markers, Dietary Lipids, and Survival in Women with Early-Stage Breast Cancer

BACKGROUND/OBJECTIVES

Nearly 10% of cancers could be prevented through dietary changes. In addition, breast cancer (BC) is the most common cancer in women worldwide. Inadequate diet may lead to several metabolic abnormalities, including metabolic syndrome (MS). The goal of our study is to evaluate the link between survival after BC and MS, as well as diet lipids and circulating lipids.

METHODS

This study was performed in an early-stage BC cohort (n = 73): MS, dietary lipids, and circulating biological parameters, including leucocyte expression in cholesterol carriers (ATP-binding cassette transporter ABCA1, ABCG1), were determined before any medication intervention. The data of each patient were analyzed using univariate logistic regression and are expressed by HR, 95%CI [5th-95th]. All these parameters were explored with survival parameters using Cox regression analyses.

RESULTS

Overall survival (OS) and invasive disease-free survival (iDFS) were significantly longer for the women without metabolic syndrome with HR 4.7 [1.11-19.92] and p = 0.036, and 3.58 [1.23-10.44] and p = 0.019, respectively. The expression of ABCG1 in peripheral leucocytes, an ATP-binding cassette transporter involved in cholesterol and phospholipid trafficking, is significantly associated with iDFS (1.38 [1.1-1.9], p = 0.0048). MS is associated with more pejorative survival parameters in early-stage breast cancer. Paraoxonase (or PON) activities differ according to PON gene polymorphism, but also diet. A link between PON activities and survival parameters was suggested and needs to be clarified.

CONCLUSIONS

This study emphasizes the link between survival parameters of early-stage breast cancer, metabolic syndrome, and some parameters related to lipid metabolism.

The effect of metabolic syndrome on prognosis of diffuse large B-cell lymphoma

PURPOSE

Metabolic syndrome (MetS), characterized by insulin resistance, is closely associated with the prognosis of various cancer types, but has not been reported in diffuse large B-cell lymphoma (DLBCL). The aim of this study is to examine how other clinicopathological variables and the MetS influence the prognosis of DLBCL.

METHODS

Clinical and pathological data were collected from 319 patients with DLBCL who were admitted to our hospital between January 2012 and December 2020. The data accessible with SPSS 27.0 enables the utilization of various statistical methods for clinical data analysis, including independent sample t test and univariate and multivariate COX regression.

RESULTS

The presence of MetS was linked to both overall survival (OS) and progression-free survival (PFS), in addition to other clinicopathological characteristics as age, IPI score, rituximab usage, and Ki-67 expression level. This link with OS and PFS indicated a poor prognosis, as shown by survival analysis. Subsequent univariate analysis identified IPI score, Ki-67 expression level, tumor staging, rituximab usage, lactate dehydrogenase expression level, and the presence or absence of MetS as factors linked with OS and PFS. Furthermore, multivariate Cox regression analysis confirmed the independent risk factor status of IPI score, Ki-67 expression level, rituximab usage, and the presence of MetS in evaluating the prognosis of patients with DLBCL.

CONCLUSION

This study's findings indicate that patients with pre-treatment MetS had a poor prognosis, with relatively shorter OS and PFS compared to those without pre-treatment MetS. Furthermore, the presence of MetS, IPI score, Ki-67 expression level, and rituximab usage were identified as independent risk factors significantly affecting the prognosis of DLBCL.

Chemotherapy and Metabolic Syndrome: A Comprehensive Review of Molecular Pathways and Clinical Outcomes

Cancer therapies, notably chemotherapy, have significantly improved survival rates and quality of life for many patients. However, chemotherapy's cytotoxic effects also impact normal cells, leading to adverse effects, including metabolic disturbances. This paper explores the link between chemotherapy and metabolic syndrome, a cluster of metabolic abnormalities that increase the risk of cardiovascular diseases and type 2 diabetes. Understanding the predictors, such as specific chemotherapy regimens, patient characteristics, comorbid conditions, lifestyle factors, and genetic variations, is crucial for formulating personalized care plans and preventive strategies. Research indicates that older age, female gender, pre-existing diabetes, and baseline obesity are significant predictors of metabolic syndrome in cancer patients. Chemotherapy-induced molecular changes, including insulin resistance, dyslipidemia, chronic inflammation, oxidative stress, and tissue fibrosis, contribute to the development of this syndrome. Effective management strategies require a multidisciplinary approach, incorporating lifestyle interventions, pharmacological treatments, and regular monitoring. This paper underscores the importance of personalized medicine in mitigating the risks associated with metabolic syndrome and improving long-term health outcomes for cancer survivors. Future research directions include longitudinal studies to track metabolic health over time, mechanistic studies to uncover the molecular pathways involved, and the development of integrative therapies. By adopting comprehensive care models, healthcare providers can enhance the overall quality of life for cancer survivors, addressing both cancer and metabolic health challenges.

Atherosclerosis, Diabetes Mellitus, and Cancer: Common Epidemiology, Shared Mechanisms, and Future Management

The involvement of cardiovascular disease in cancer onset and development represents a contemporary interest in basic science. It has been recognized, from the most recent research, that metabolic syndrome-related conditions, ranging from atherosclerosis to diabetes, elicit many pathways regulating lipid metabolism and lipid signaling that are also linked to the same framework of multiple potential mechanisms for inducing cancer. Otherwise, dyslipidemia and endothelial cell dysfunction in atherosclerosis may present common or even interdependent changes, similar to oncogenic molecules elevated in many forms of cancer. However, whether endothelial cell dysfunction in atherosclerotic disease provides signals that promote the pre-clinical onset and proliferation of malignant cells is an issue that requires further understanding, even though more questions are presented with every answer. Here, we highlight the molecular mechanisms that point to a causal link between lipid metabolism and glucose homeostasis in metabolic syndrome-related atherosclerotic disease with the development of cancer. The knowledge of these breakthrough mechanisms may pave the way for the application of new therapeutic targets and for implementing interventions in clinical practice.

Dyslipidemia is associated with a poor prognosis of breast cancer in patients receiving neoadjuvant chemotherapy

BACKGROUND

Lipid metabolism disorders may be involved in the occurrence and development of breast cancer. This study aimed to investigate the serum lipid changes during neoadjuvant chemotherapy for breast cancer and the effect of dyslipidemia on the prognosis of breast cancer patients.

METHODS

We collected the data from 312 breast cancer patients who underwent surgery after receiving standard neoadjuvant therapy. χ² test and T-test were employed to analyze the effect of chemotherapy on the serum lipid metabolism of patients. The effects of dyslipidemia on the disease-free survival (DFS) of patients with breast cancer were analyzed by χ² test and COX regression analysis.

RESULTS

A total of 56 out of 312 patients (17.9%) suffered from relapse. The baseline serum lipid level of the patients was significantly correlated with their age and body mass index (BMI) (p < 0.05). Chemotherapy increased the levels of triglycerides, total cholesterol, and low-density lipoprotein cholesterol, but decreased the level of high-density lipoprotein cholesterol (p < 0.001). Preoperative dyslipidemia was significantly associated with the axillary pCR rate (p < 0.05). COX regression analysis revealed that the full-course serum lipid level (HR = 1.896 [95%CI 1.069-3.360]; p = 0.029), N stage (HR = 4.416 [95%CI 2.348-8.308]; p < 0.001) and the total pCR rate (HR = 4.319 [95%CI 1.029-18.135]; p = 0.046) acted as prognostic factors affecting DFS in breast cancer. The relapse rate in patients with a high level of total cholesterol was higher than that in patients with a high level of triglycerides (61.9% vs 30.0%; p < 0.05).

CONCLUSIONS

Dyslipidemia deteriorated after chemotherapy. The full-course serum lipid level may thus serve as a blood marker for predicting breast cancer prognosis. Serum lipids should therefore be closely monitored in breast cancer patients throughout the treatment course, and patients with dyslipidemia should be treated in a timely manner.