Body mass index and prognosis of breast cancer: An analysis by menstruation status when breast cancer diagnosis

Exploring novel protein-based biomarkers for advancing breast cancer diagnosis: A review

This review provides a contemporary examination of the evolving landscape of breast cancer (BC) diagnosis, focusing on the pivotal role of novel protein-based biomarkers. The overview begins by elucidating the multifaceted nature of BC, exploring its prevalence, subtypes, and clinical complexities. A critical emphasis is placed on the transformative impact of proteomics, dissecting the proteome to unravel the molecular intricacies of BC. Navigating through various sources of samples crucial for biomarker investigations, the review underscores the significance of robust sample processing methods and their validation in ensuring reliable outcomes. The central theme of the review revolves around the identification and evaluation of novel protein-based biomarkers. Cutting-edge discoveries are summarised, shedding light on emerging biomarkers poised for clinical application. Nevertheless, the review candidly addresses the challenges inherent in biomarker discovery, including issues of standardisation, reproducibility, and the complex heterogeneity of BC. The future direction section envisions innovative strategies and technologies to overcome existing challenges. In conclusion, the review summarises the current state of BC biomarker research, offering insights into the intricacies of proteomic investigations. As precision medicine gains momentum, the integration of novel protein-based biomarkers emerges as a promising avenue for enhancing the accuracy and efficacy of BC diagnosis. This review serves as a compass for researchers and clinicians navigating the evolving landscape of BC biomarker discovery, guiding them toward transformative advancements in diagnostic precision and personalised patient care.

[Development and Evaluation of an App-Based Self-Management Program for Exercise Practice of Breast Cancer Survivors: A Non-Randomized Controlled Trial]

PURPOSE

This study aimed to develop an app-based self-management program based on the transtheoretical model (TTM) for breast cancer survivors' exercise practice, as well as to investigate the program's effects on the stage of change for exercise, exercise self-efficacy, exercise decisional balance, exercise amount, and body composition.

METHODS

This non-randomized controlled study included 52 participants (26 in each of the experimental and control groups, respectively). An app-based self-management program based on the TTM was conducted with the experimental group for a 12-week period. The program comprised three components: individual coaching for each stage of change for exercise based on TTM, amount of exercise and body composition monitoring, and online self-help meetings.

RESULTS

Compared with the control group, the experimental group had significantly higher stages of change for exercise (p < .001), exercise self-efficacy (p < .001), exercise decisional balance (p = .002), exercise amount (p < .001), and body composition (body weight [p = .006], body mass index [p = .005], and body fat percentage [p = .010]) immediately and four weeks after the intervention.

CONCLUSION

An app-based self-management program based on the TTM improves exercise behaviors in breast cancer survivors and provides physical benefits.

The Effect of Melatonin Supplementation on Cancer-Related Fatigue during Chemotherapy Treatment of Breast Cancer Patients: A Double-Blind, Randomized Controlled Study

Cancer-related fatigue (CRF) is a common distressing complaint of breast cancer (BC) patients treated with chemotherapy. Nutritional quality plays a pivotal role in CRF, while increased interest towards new pharmacological agents has been observed. Melatonin, an endogenous hormone that regulates the human sleep-wake cycle, could alleviate CRF. In the present randomized, placebo-controlled 3-month trial, we investigated the effects of melatonin intake (i.e., 1 mg/day) vs. placebo in BC patients on CRF. In both arms, the Mediterranean diet (MD) was implemented. Medical history, anthropometry and blood withdrawal were performed. CRF was evaluated by the Functional Assessment of Chronic Illness Therapy-Fatigue questionnaire and MD adherence by the MedDietScore. In total, 49 BC women (median age 52 years) were recruited, namely N = 23 in the intervention arm and N = 26 in the placebo arm. At baseline, CRF was positively associated with body mass index (BMI), even when adjusted for age, waist circumference and blood indices related to disease prognosis (beta = -0.882, p = 0.003). At 3 months, both groups showed a BMI decrease (p < 0.05), but only the intervention group improved CRF compared to baseline (p = 0.003). No differences in CRF were observed between the groups. In conclusion, melatonin oral supplementation could ameliorate CRF in BC patients.

Trends in the burden of most common obesity-related cancers in 16 Southern Africa development community countries, 1990-2019. Findings from the global burden of disease study

Background

Obesity-related cancers in the 16 Southern African Development Community (SADC) countries is quite prominent. The changes and time trends of the burden of obesity-related cancers in developing countries like SADC remain largely unknown. A descriptive epidemiological analysis was conducted to assess the burden of obesity-related cancers, (liver, esophageal, breast, prostate, colon/rectal, leukemia, ovarian, uterine, pancreatic, kidney, gallbladder/biliary tract, and thyroid cancers) in SADC countries.

Methods

Data from the 2019 Global Burden of Diseases Study was used. Deaths extracted from vital registration, verbal autopsies and ICD codes. Cancer-type, mortality and prevalence per 100,000 population and 95% uncertainty intervals (UIs) were calculated using the Cause of Death Ensemble model and Spatio-Temporal Gaussian process with mixed effects regression models. Annual rates of change (AROCs) between 1990 and 2019 and the corresponding UIs were calculated.

Results

The top age-standardized mortality rates per 100,000 in 2019 for males were leukemia, 20.1(14.4-26.4), esophageal cancer, 15.1 (11.2-19.1), and colon and rectal cancer, 10.3 (8.6-12.6). For females, breast cancer, 20.6 (16.6-25.0), leukemia, 17.1 (11.4-23.7), and esophageal cancer, 8.3 (5.5-10.7), had the leading mortality rates. For males, AROC substantial (p < 0.05) increase for kidney cancer for 11 of the countries (AROC from 0.41% to 1.24%), colon cancer for eight of the countries (from 0.39% to 0.92%), and pancreatic cancer for seven countries (from 0.26% to 1.01%). In females, AROC showed substantial increase for pancreatic cancer for 13 of the countries from (0.34%-1.67%), nine countries for kidney cancer (from 0.27% to 1.02%), seven countries each for breast cancer (0.35%-1.13%), and ovarian cancer (from 0.33% to 1.21%).

Conclusions

There is need for location-specific and culturally appropriate strategies for better nutrition and weight control, and improved screening for all cancers. Health promotion messaging should target kidney, colon, pancreatic, and breast cancers and encourage clinically tested methods of reducing BMI such as increasing personal physical activity and adoption of effective dietary regimes.

Central obesity, body mass index, metabolic syndrome and mortality in Mediterranean breast cancer patients

Obesity and metabolic disorders have been associated with poor outcomes in non-Mediterranean breast cancer (BC) patients. The purpose of this study was to investigate the prognostic potential of anthropometric variables in patients with early BC living in Southern Mediterranean region of Italy. We enrolled 955 consecutive early BC patients treated in hospitals in Naples between 2009 and 2013 (median follow-up 11.8-year ending 15/09/2022). Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and metabolic syndrome (MetS) were collected. All-cause and BC-specific mortality were calculated. At the last day of contact 208 (22%) patients had died, 131 (14%) from BC. High WC (≥ 88 cm) or WHR (> 0.85) and the MetS were significantly associated with moderately increased risk of all-cause mortality (HR=1.39, 1.62, 1.61, respectively). A significant increased risk of BC-specific mortality was found in obese patients, in those with high WC, high WHR and those with MetS (HR=1.72, 1.71, 1.80, 1.81, respectively). Central obesity significantly increased total and BC-specific mortality particularly in pre-menopausal women and in luminal subtypes, while in post-menopause MetS was a stronger risk factor. Obesity and MetS may impair the effectiveness of BC therapies hence active lifestyle interventions are encouraged.

Mendelian randomization analysis revealed potential metabolic causal factors for breast cancer

Observational studies showed that metabolic phenotypes were associated with the risk of developing breast cancer (BC). However, those results are inconsistent regarding the magnitude of the association, particularly by subtypes of breast cancer. Furthermore, the mechanisms of the association remain unclear. We performed two-sample Mendelian randomization (MR) analyses to evaluate the causal effect of metabolic risk factors on breast cancer in the European population. Assessed individually using MR, body mass index (BMI) (odds ratio [OR] 0.94, 95% Confidence interval [CI] 0.90-0.98, P = 0.007), high-density lipoprotein cholesterol (HDL-C) (OR 1.10, 95% CI 1.07-1.13, P = 6.10 × 10-11) and triglycerides (TG) (OR 0.92, 95% CI 0.90-0.96, P = 1.58 × 10-6) were causally related to breast cancer risk. In multivariable MR, only HDL-C (OR 1.08; 95% CI 1.02-1.14; P = 0.02) retained a robust effect, suggesting that the genetic association between BMI, HDL-C and TG with breast cancer risk in univariable analysis was explained via HDL-C. These findings suggest a possible causal role of HDL-C in breast cancer etiology.

The Role of AI in Breast Cancer Lymph Node Classification: A Comprehensive Review

Breast cancer is a significant health issue affecting women worldwide, and accurately detecting lymph node metastasis is critical in determining treatment and prognosis. While traditional diagnostic methods have limitations and complications, artificial intelligence (AI) techniques such as machine learning (ML) and deep learning (DL) offer promising solutions for improving and supplementing diagnostic procedures. Current research has explored state-of-the-art DL models for breast cancer lymph node classification from radiological images, achieving high performances (AUC: 0.71-0.99). AI models trained on clinicopathological features also show promise in predicting metastasis status (AUC: 0.74-0.77), whereas multimodal (radiomics + clinicopathological features) models combine the best from both approaches and also achieve good results (AUC: 0.82-0.94). Once properly validated, such models could greatly improve cancer care, especially in areas with limited medical resources. This comprehensive review aims to compile knowledge about state-of-the-art AI models used for breast cancer lymph node metastasis detection, discusses proper validation techniques and potential pitfalls and limitations, and presents future directions and best practices to achieve high usability in real-world clinical settings.

Postdiagnosis body fatness, weight change and breast cancer prognosis: Global Cancer Update Program (CUP global) systematic literature review and meta-analysis

Previous evidence on postdiagnosis body fatness and mortality after breast cancer was graded as limited-suggestive. To evaluate the evidence on body mass index (BMI), waist circumference, waist-hip-ratio and weight change in relation to breast cancer prognosis, an updated systematic review was conducted. PubMed and Embase were searched for relevant studies published up to 31 October, 2021. Random-effects meta-analyses were conducted to estimate summary relative risks (RRs). The evidence was judged by an independent Expert Panel using pre-defined grading criteria. One randomized controlled trial and 225 observational studies were reviewed (220 publications). There was strong evidence (likelihood of causality: probable) that higher postdiagnosis BMI was associated with increased all-cause mortality (64 studies, 32 507 deaths), breast cancer-specific mortality (39 studies, 14 106 deaths) and second primary breast cancer (11 studies, 5248 events). The respective summary RRs and 95% confidence intervals per 5 kg/m2 BMI were 1.07 (1.05-1.10), 1.10 (1.06-1.14) and 1.14 (1.04-1.26), with high between-study heterogeneity (I2  = 56%, 60%, 66%), but generally consistent positive associations. Positive associations were also observed for waist circumference, waist-hip-ratio and all-cause and breast cancer-specific mortality. There was limited-suggestive evidence that postdiagnosis BMI was associated with higher risk of recurrence, nonbreast cancer deaths and cardiovascular deaths. The evidence for postdiagnosis (unexplained) weight or BMI change and all outcomes was graded as limited-no conclusion. The RCT showed potential beneficial effect of intentional weight loss on disease-free-survival, but more intervention trials and well-designed observational studies in diverse populations are needed to elucidate the impact of body composition and their changes on breast cancer outcomes.

The impact of obesity and endocrine therapy on the prognosis of premenopausal women with hormone receptor-positive breast cancer: A single-institute retrospective study

BACKGROUND

Higher body mass index (BMI) is associated with worse prognosis in pre- and postmenopausal patients with breast cancer (BC). However, there is insufficient evidence regarding the optimal adjuvant endocrine therapy for obese premenopausal women with hormone receptor (HR)-positive BC.

AIM

To evaluate the impact of obesity and adjuvant endocrine therapy on prognosis in premenopausal patients with BC.

METHODS AND RESULTS

We retrospectively reviewed the medical record of premenopausal women who received curative surgery for clinical stage I-III HR-positive BC from 2007 to 2017. Patients were classified into five groups according to BMI: underweight (UW), normal weight (NW), obese 1 degree (OB1), obese 2 degree (OB2), and obese 3 degree (OB3) categories. The primary analysis was a comparison of BC-specific survival (BCSS) according to BMI (UW/NW vs. OB1-3) and adjuvant endocrine therapy (with or without ovarian function suppression [OFS]). Of 13 021 patients, the data of 3380 patients were analyzed. BCSS in OB1-3 patients was significantly worse than that in patients with UW/NW (hazard ratio [HR] 2.37; 95% confidence interval [CI], 1.40-4.02: p = .0009). In OB1-3 patients who received tamoxifen (TAM), BCSS was significantly worse than that in UW/NW patients (p = .0086); however, a significant difference was not shown in patients who received TAM and OFS (p = .0921).

CONCLUSION

High BMI was associated with worse prognosis in premenopausal patients with HR-positive BC who received adjuvant TAM. The role of OFS as adjuvant endocrine therapy remains unclear, and further studies are required to explore the adequate management of obese premenopausal patients.

Obesity and breast cancer

The paper presents an analysis of the latest literature data on the problem of obesity and breast cancer (BC). This review presents modern approaches to the diagnosis of BC in obese patients, new molecular methods of breast imaging,  analyzes the features of the course of BC with obesity depending on menstrual status, molecular biological subtypes of the tumor, the mechanisms of the development of BC against the background of obesity.

Role of STING protein in breast cancer: mechanisms and therapeutic implications

Breast cancer is one of the most frequent causes of cancer related death worldwide, and despite the significant advances in therapeutic approaches, a significant proportion of patients succumb to metastasis and tumor recurrence. Breast cancer is an immunogenic cancer, and therefore, immunotherapy is considered a major therapeutic strategy. The survival rate has been increased significantly in HER2+ breast cancers after immunotherapy by monoclonal antibodies alone, or combined with chemical anti-cancer agents. Moreover, in triple negative breast cancer (TNBC), a number of novel agents called immune checkpoint inhibitors have shown optimal efficacy. The major hindrance in cancer immunotherapy is frequent development of resistance and cancer remission. cGAS-STING pathway has a key role in anti-cancer immunity as its downstream signals especially type I interferon (IFN) acts as a link between innate and adaptive immunity. Considering the roles of type I IFN in enhancing dendritic cells activity, promoting the functions of CD8⁺ T cells, and protecting the effector cells against apoptosis, the induction of cGAS-STING pathway demonstrated promising therapeutic effects against breast cancer, especially in triple negative breast cancers. In this review, we discuss the latest findings and the recent advances regarding the role of cGAS-STING pathway and its activation in breast cancer.

Association of hypertension, hyperlipidemia, obesity, and demographic risk factors with breast cancer in Bangladeshi women

In recent years, breast cancer incidences and related deaths have been rising among Bangladeshi women and will be a major threat by 2040. So, conducting more population-based studies is crucial. This case-control study was designed to quantitatively evaluate potential risk factors for breast cancer. In this population-based case-control study, 52 random breast cancer cases and 59 matched healthy controls, aged between 25 and 70 years, were included. The breast cancer patient samples were collected from the National Institute of Cancer Research and Hospital (NICRH), Dhaka, Bangladesh, from December 2021 to February 2022. The study was conducted fully following the Declaration of Helsinki guidelines. The collected socio-demographic data and blood samples of the study participants were analyzed. Chi-square analysis was used to compare study characteristics between cases and controls, Odds ratios (ORs) with 95% confidence intervals (CIs) were derived by univariate-logistic regression, and models were adjusted where necessary for study characteristics. Summary demographic characteristics of the 111 study participants suggested that higher age: (≥45): [OR 4.38, 95% CI (1.94-9.89), P value <.001], height: (<1.5 m): [OR 3.01, 95% CI (1.12-8.12), P value .029], low-incomes: [OR 6.83, 95% CI (2.11-22.05), P value .001], and illiteracy: [OR 12.65, 95% CI (3.49-45.79), P value .0001] showed significant correlations with breast cancer. The patient's body mass index (BMI) (≥30) indicated an association with breast cancer: [OR 3.91, 95% CI (1.00-15.31), P value .05]. The lipid profile: [triglycerides (TG): OR = 3.20, 95% CI (1.36-7.53), P value .008; TG/high-density lipid (HDL): OR = 8.82, 95% CI (2.81-27.68), P value <.001; and a lowered HDL: OR = 3.32, 95% CI (1.38-7.98), P value .007], hypertension: [systolic: OR 4.32, 95% CI (1.71-10.93), P value .002; and diastolic: OR 7.32, 95% CI (2.51-21.34), P value <.001], and gastric issues: [OR 6.07, 95% CI (2.00-18.37), P value .001], all showed significant association with breast cancer. The ER- breast cancer subtype was significantly associated with the overweight (OW) group (P value .046) whereas the PR-patients were significantly higher in the normal BMI group (P value .013). Results from this study might aid in the prevention, management, and raising of awareness against the specific risk factors among Bangladeshi women in near future.

The influence of age, menstrual state and body mass index on the relation between osteopenia and osteoporosis associated with breast cancer

Osteoporosis and body mass index (BMI) have been reported to be associated with breast cancer. The correlation between other types of bone loss and breast cancer requires further illustrative evidence. Effect of age and menstrual state on the relationship of osteoporosis, osteopenia and BMI with breast cancer was evaluated in this study. Two hundred breast cancer patients and 200 breast cancer-free patients were included in a case-control study. Bone mineral density (BMD) and BMI were determined in all subjects. Postmenopause was the most frequent menstrual state. osteopenia was found to be significant in breast cancer patients and osteoporosis was significant in another group of women. There was no significant difference between breast cancer patients and control women in terms of age and menstrual status. Obesity was common in all subjects. In conclusion, bone loss rates are significantly low in breast cancer patients relative to healthy women. There was no significant impact of age, menstrual status or BMI on the development of osteopenia or osteoporosis in breast cancer patients. In addition, BMD analytical results may identify the appropriate treatment for bone loss. A routine check-up of osteopenia or osteoporosis is highly recommended for breast cancer patients.Impact StatementWhat is already known on this subject? Breast cancer may be associated with a wide variety of human body parameters. These parameters can include age, body mass index (BMI), obesity and menstrual status. There is also a correlation between osteoporosis and breast cancer.What do the results of this study add? Osteopenia is the most frequent form of bone loss among women with breast cancer. In contrast, osteoporosis as the worst stage of bone loss is unusual in these patients. Factors such as age, menstruation and BMI have no effect on the development of breast cancer.What are the implications of these findings for clinical practice and/or further research? Identification of the type of bone loss in women with breast cancer is essential to determine the appropriate type of therapy.

Associations of the Paleolithic Diet Pattern Scores and the Risk of Breast Cancer among Adults: A Case-Control Study

Evidence suggests the role of changing traditional lifestyle patterns such as Paleolithic to modern lifestyle in the incidence and epidemic of chronic diseases. Thus, this study aimed to investigate the association between Paleolithic diet (PD) and risk of Breast Cancer (BC) in adult Iranian women. This matched case-control study included 253 women with BC and 267 healthy women aged >18 years. PD score was evaluated using a validated 168-item quantitative food frequency questionnaire. Conditional logistic regression model was used to estimate odds ratios (ORs) and 95% confidence intervals (95%CIs), and dose-response was investigated. Mean of PD score was 39.00 ± 6.39. Among the food groups of the PD components, BC patients significantly had lower consumption of healthy food groups as vegetables, fruits, fish, and nuts, higher intakes of sugar-sweetened beverages as well as grains and starches. After adjustment for potential confounders, comparing the highest quartile of PD scores with the lowest quartile, a decrease in the risk of BC was observed for all women (OR: 0.26; 95% CI: 0.13-0.53), as well as those premenopausal (OR: 0.29; 95% CI: 0.11), and postmenopausal (OR: 0.17; 95% CI: 0.05 - 0.56). Our findings show that adherence to the PD pattern significantly reduces the risk of BC in the population studied. However, prospective studies are needed to further investigate this association.

Body mass index increases the recurrence risk of breast cancer: a dose-response meta-analysis from 21 prospective cohort studies

OBJECTIVE

The purpose of this study was to investigate the effect of body mass index (BMI) on the recurrence risk of breast cancer.

STUDY DESIGN

Dose-response meta-analysis.

METHODS

Cohort studies that included BMI and the recurrence of breast cancer were selected through various databases including PubMed, Web of Science, the China National Knowledge Infrastructure (CNKI), Chinese Scientific Journals (VIP), and Wanfang Data Knowledge Service Platform (WanFang) until November 30, 2021. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of literature. A two-stage random-effects meta-analysis was performed to assess the dose-response relationship between BMI and breast cancer recurrence risk. Heterogeneity between studies is assessed using I².

RESULTS

The relative risk (RR) of BMI <25 kg/m² vs BMI ≥25 kg/m², BMI <30 kg/m² vs BMI ≥30 kg/m² were 1.09 (95% CI: 1.00-1.19) and 1.15 (95% CI: 1.04-1.27), suggesting that BMI had a significant effect on the recurrence risk of breast cancer, and there might be a dose-response relationship between them. A total of 21 studies were included in dose-response meta-analysis, which showed that there was a positive linear correlation between BMI and the risk of recurrence (RR = 1.02, 95% CI: 1.01-1.03). For every 1 kg/m² increment of BMI, the risk of recurrence increased by approximately 2%. In subgroup analyses, positive linear dose-response relationships between BMI and recurrence risk were observed among Asian and study period >10 years groups. For every 1 kg/m² increment of BMI, the risk of recurrence increased by 3.41% and 1.87%, respectively.

CONCLUSIONS

The recurrence risk of breast cancer increases with BMI, which is most obvious among Asian women.

Associations of adiposity and weight change with recurrence and survival in breast cancer patients: a systematic review and meta-analysis

BACKGROUND

Adiposity and weight change among patients with breast cancer are associated with mortality, but there is limited evidence on the associations with distant recurrence or other causes of death or on central adiposity. Moreover, the relationship with breast cancer subtypes and by menopause status is unclear.

METHODS

We conducted a systematic review and meta-analysis of prospective studies of breast cancer patients investigating the associations of general and central adiposity (body mass index [BMI] and waist circumference [WC], respectively), before and after diagnosis, and weight change, with all-cause mortality, breast cancer-specific mortality (BCSM), and recurrence.

RESULTS

173 studies (519,544 patients, 60,249 deaths overall, and 25,751 breast cancer deaths) were included. For BMI  < 1 year post diagnosis, compared with normal weight women, the summary relative risk (RR) for obese women was 1.21 (1.15-1.27) for all-cause mortality, 1.22 (1.13-1.32) for BCSM, 1.12 (1.06-1.18) for recurrence, and 1.19 (1.11-1.28) for distant recurrence. Obesity was associated with all-cause mortality and BCSM in patients with ER+ or HER2+ tumors, whereas no clear association was observed in patients with triple-negative tumors. Similar associations were observed by menopausal status. Stronger associations were observed in East Asians than Europeans. Central adiposity was associated with all-cause mortality, while large weight gain was associated with all-cause mortality, BCSM, and recurrence.

CONCLUSION

Higher adiposity is associated with all-cause mortality, BCSM, recurrence, and distant recurrence in breast cancer patients, with similar associations by menopausal status and some evidence of heterogeneity by subtypes. Weight gain is also associated with recurrence and survival among breast cancer patients.

No Impact of Seasonality of Diagnoses on Baseline Tumor Immune Infiltration, Response to Treatment, and Prognosis in BC Patients Treated with NAC

Simple Summary

High tumor-infiltrating lymphocyte (TIL) levels are associated with an increased response to neoadjuvant chemotherapy (NAC) in breast cancer (BC). The seasonal fluctuation of TILs in breast cancer is poorly documented. In this study, we compared pre- and post-treatment immune infiltration, the treatment response as assessed by means of pathological complete response (pCR) rates, and survival according to the seasonality of BC diagnoses in a clinical cohort of patients treated with NAC. We found no association between seasonality and baseline TIL levels or pCR rates. We found that post-NAC stromal lymphocyte infiltration was lower when cancer was diagnosed in the summer, especially in the subgroup of patients with TNBC. Our data do not support the hypothesis that the seasonality of diagnoses has a major impact on the natural history of BC treated with NAC.

Abstract

Breast cancer (BC) is the most common cancer in women worldwide. Neoadjuvant chemotherapy (NAC) makes it possible to monitor in vivo response to treatment. Several studies have investigated the impact of the seasons on the incidence and detection of BC, on tumor composition, and on the prognosis of BC. However, no evidence is available on their association with immune infiltration and the response to treatment. The objective of this study was to analyze pre- and post-NAC immune infiltration as assessed by TIL levels, the response to treatment as assessed by pathological complete response (pCR) rates, and oncological outcomes as assessed by relapse-free survival (RFS) or overall survival (OS) according to the seasonality of BC diagnoses in a clinical cohort of patients treated with neoadjuvant chemotherapy. Out of 1199 patients, the repartition of the season at BC diagnosis showed that 27.2% were diagnosed in fall, 25.4% in winter, 24% in spring, and 23.4% in summer. Baseline patient and tumor characteristics, including notable pre-NAC TIL levels, were not significantly different in terms of the season of BC diagnosis. Similarly, the pCR rates were not different. No association for oncological outcome was identified. Our data do not support the idea that the seasonality of diagnoses has a major impact on the natural history of BC treated with NAC.

Accumulation of Arachidonic Acid, Precursor of Pro-Inflammatory Eicosanoids, in Adipose Tissue of Obese Women: Association with Breast Cancer Aggressiveness Indicators

While obesity is linked to cancer risk, no studies have explored the consequences of body mass index (BMI) on fatty acid profiles in breast adipose tissue and on breast tumor aggressiveness indicators. Because of this, 261 breast adipose tissue samples of women with invasive breast carcinoma were analyzed. Fatty acid profile was established by gas chromatography. For normal-weight women, major changes in fatty acid profile occurs after menopause, with the enrichment of long-chain polyunsaturated fatty acids (LC-PUFAs) of both n-6 and n-3 series enrichment, but a stable LC-PUFAs n-6/n-3 ratio across age. BMI impact was analyzed by age subgroups to overcome the age effect. BMI increase is associated with LC-PUFAs n-6 accumulation, including arachidonic acid. Positive correlations between BMI and several LC-PUFAs n-6 were observed, as well as a strong imbalance in the LC-PUFAs n-6/n-3 ratio. Regarding cancer, axillary lymph nodes (p = 0.02) and inflammatory breast cancer (p = 0.08) are more frequently involved in obese women. Increased BMI induces an LC-PUFAs n-6 accumulation, including arachidonic acid, in adipose tissue. This may participate in the development of low-grade inflammation in obese women and breast tumor progression. These results suggest the value of lifestyle and LC-PUFAs n-3 potential, in the context of obesity and breast cancer secondary/tertiary prevention.

Effect of concomitant statin treatment in postmenopausal patients with hormone receptor-positive early-stage breast cancer receiving adjuvant denosumab or placebo: a post hoc analysis of ABCSG-18

Background

Statins are cholesterol-lowering drugs prescribed for the prevention and treatment of cardiovascular disease. Moreover, statins may possess anticancer properties and interact with receptor activator of nuclear factor κB ligand expression. We aimed at evaluating a hypothetical synergistic effect of statins with denosumab in early-stage breast cancer (BC) patients from the Austrian Breast and Colorectal Cancer Study Group (ABCSG) trial 18.

Patients and methods

ABCSG-18 (NCT00556374) is a prospective, randomized, double-blind, phase III study; postmenopausal patients with hormone receptor-positive BC receiving a nonsteroidal aromatase inhibitor were randomly assigned to denosumab or placebo. In this post hoc analysis, we investigated the effects of concomitant statin therapy on recurrence risk (RR) of BC, fracture risk and bone mineral density (BMD).

Results

In the study population (n = 3420), statin therapy (n = 824) was associated with worse disease-free survival (DFS) [hazard ratio (HR) 1.35, 95% confidence interval (CI) 1.04-1.75; P = 0.023]. While no significant effect of lipophilic statins (n = 710) on RR was observed (HR 1.30, 95% CI 0.99-1.72; P = 0.062), patients on hydrophilic statins (n = 87) had worse DFS compared with patients not receiving any statins (HR 2.00, 95% CI 1.09-3.66; P = 0.026). This finding was mainly driven by the effect of hydrophilic statins on DFS in the denosumab arm (HR 2.63, 95% CI 1.21-5.68; P = 0.014). However, this effect subsided after correction for confounders in the sensitivity analysis. No association between statin use and fracture risk or osteoporosis was observed.

Conclusion

According to this analysis, hydrophilic statins showed a detrimental effect on DFS in the main model, which was attenuated after correction for confounders. Our data need to be interpreted with caution due to their retrospective nature and the low number of patients receiving hydrophilic statins.

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Statin co-medication was initially associated with a worse DFS in hormone receptor-positive early-stage BC patients.

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This effect was mainly driven by patients on hydrophilic statins.

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However, this effect subsided after correction for confounders in the sensitivity analysis.

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No association between statin use and fracture risk or osteoporosis was observed.

Impact of body mass index on pathological complete response and survival of breast cancer patients receiving neoadjuvant chemotherapy

BACKGROUND

High body mass index (BMI) is regarded as a poor prognostic factor in breast cancer (BC). However, its association with pathological complete response (pCR) and survival after neoadjuvant chemotherapy (NAC) remains controversial.

OBJECTIVE

We wanted to assess the prognostic impact of BMI in this setting.

METHODS

Single-center, retrospective review of 314 BC patients undergoing NAC from 2010 to 2018. Patients were categorized as underweight/normal weight (UW/NW) (BMI < 25) or overweight/obese (OW/OB) (BMI ≥ 25). The relationship between BMI and other traditional clinical-pathological prognostic variables with the pCR rate was investigated using logistic regression analysis. The effect on event-free survival (EFS) and overall survival (OS) was estimated by the Cox proportional hazards regression analysis.

RESULTS

One hundred and twenty-two patients were UW/NW while 192 were OW/OB. Multivariate analysis revealed that hormonal receptors negative, HER2 positive, and clinical tumor stage (cT) 1-2 were independent predictor factors for pCR. Multivariate analysis confirmed tumor grade G3 and lack of pCR as independent adverse prognostic factors for EFS, while factors associated with worse OS were cT3-4, hormone receptors negative, and lack of pCR. Non-significant differences in pCR, EFS, or OS were observed between the two baseline BMI categories.

CONCLUSIONS

In our experience, BMI is not associated with pCR, EFS, or OS in BC patients receiving NAC. Achieving pCR is the most consistent factor associated with EFS and OS. Prospective and well-designed studies taking into account other important biological and anthropometric factors are needed to determine the exact role of BMI in this setting.

Expected and paradoxical effects of obesity on cancer treatment response

Obesity, whose prevalence is pandemic and continuing to increase, is a major preventable and modifiable risk factor for diabetes and cardiovascular diseases, as well as for cancer. Furthermore, epidemiological studies have shown that obesity is a negative independent prognostic factor for several oncological outcomes, including overall and cancer-specific survival, for several site-specific cancers as well as for all cancers combined. Yet, a recently growing body of evidence suggests that sometimes overweight and obesity may associate with better outcomes, and that immunotherapy may show improved response among obese patients compared with patients with a normal weight. The so-called 'obesity paradox' has been reported in several advanced cancer as well as in other diseases, albeit the mechanisms behind this unexpected relationship are still not clear. Aim of this review is to explore the expected as well as the paradoxical relationship between obesity and cancer prognosis, with a particular emphasis on the effects of cancer therapies in obese people.

Breast Cancer-Epidemiology, Risk Factors, Classification, Prognostic Markers, and Current Treatment Strategies-An Updated Review

Simple Summary

Breast cancer is the most common cancer among women. It is estimated that 2.3 million new cases of BC are diagnosed globally each year. Based on mRNA gene expression levels, BC can be divided into molecular subtypes that provide insights into new treatment strategies and patient stratifications that impact the management of BC patients. This review addresses the overview on the BC epidemiology, risk factors, classification with an emphasis on molecular types, prognostic biomarkers, as well as possible treatment modalities.

Abstract

Breast cancer (BC) is the most frequently diagnosed cancer in women worldwide with more than 2 million new cases in 2020. Its incidence and death rates have increased over the last three decades due to the change in risk factor profiles, better cancer registration, and cancer detection. The number of risk factors of BC is significant and includes both the modifiable factors and non-modifiable factors. Currently, about 80% of patients with BC are individuals aged >50. Survival depends on both stage and molecular subtype. Invasive BCs comprise wide spectrum tumors that show a variation concerning their clinical presentation, behavior, and morphology. Based on mRNA gene expression levels, BC can be divided into molecular subtypes (Luminal A, Luminal B, HER2-enriched, and basal-like). The molecular subtypes provide insights into new treatment strategies and patient stratifications that impact the management of BC patients. The eighth edition of TNM classification outlines a new staging system for BC that, in addition to anatomical features, acknowledges biological factors. Treatment of breast cancer is complex and involves a combination of different modalities including surgery, radiotherapy, chemotherapy, hormonal therapy, or biological therapies delivered in diverse sequences.

Fish oil supplementation increases expression of mammary tumor apoptosis mediators and reduces inflammation in an obesity-associated HER-2 breast cancer model

Obesity is associated with inflammation and has been shown to increase breast cancer severity. The objective of this study was to examine the effect of fish oil (FO) supplementation in obesity-associated mammary tumorigenesis in the MMTV-neu(ndl)-YD5 mouse model of human epidermal growth factor receptor-2 positive BC. Female mice were fed one of three diets for 16 weeks: i) high fat diet [HF, % kacl: 41.2% lard, 18.7% corn oil (CO)], ii) an isocaloric HF plus menhaden FO diet (HF+FO, % kcal: 41.2 lard, 13.4% CO, 5.3% FO), iii) low fat diet (LF, % kcal: 4.7% lard, 6% CO). HF mice had increased body weight, visceral adipose weight and serum hormone concentrations (increased leptin and resistin; decreased adiponectin) versus LF, which was attenuated in the HF+FO group versus HF (P<.05). Compared to HF, tumor onset was delayed in HF+FO and LF mice (P<0.05). Compared to HF, HF+FO reduced mammary tumor multiplicity (-27%), tumor weight (-46%) and total tumor volume (-50%) (P<0.05). Additionally, HF+FO reduced mammary tumor multiplicity (-33%), tumor weight (-39%) and total tumor volume (-60%) versus LF. HF+FO improved mammary tumor apoptosis status with increased expression of pro-apoptotic Bad and decreased expression of anti-apoptotic Bcl-xLmediators versus HF (P<0.05). Additionally, HF+FO decreased tumor protein expression of activated Akt, NFκB p65 and STAT3, versus HF (P<0.05). Tumor mRNA expression of inflammatory mediators TNFα, IL-6 and leptin were reduced in HF+FO, whereas IL-10 expression was increased compared to HF (P<0.05). Collectively these results demonstrate the efficacy of FO supplementation for improving obesity-associated breast cancer outcomes.

Estimates of future cancer mortality attributable to modifiable risk factors in Canada

OBJECTIVES

Modifiable lifestyle, environmental, and infectious risk factors associated with cancer impact both cancer incidence and mortality at the population level. Most studies estimating this burden focus on cancer incidence. However, because these risk factors are associated with cancers of disparate mortality rates, the burden associated with cancer incidence could differ from cancer mortality. Therefore, estimating the cancer mortality attributable to these risk factors provides additional insight into cancer prevention. Here, we estimated future cancer deaths and the number of avoidable deaths in Canada due to modifiable risk factors.

METHODS

The projected cancer mortality data came from OncoSim, a web-based microsimulation tool. These data were applied to the methodological framework that we previously used to estimate the population attributable risks and the potential impact fractions of modifiable risk factors on Canadian cancer incidence.

RESULTS

We estimated that most cancer deaths will be attributed to tobacco smoking with an average of 27,900 deaths annually from 2024 to 2047. If Canada's current trends in excess body weight continue, cancer deaths attributable to excess body weight would double from 2786 deaths in 2024 to 5604 deaths in 2047, becoming the second leading modifiable cause of cancer death. Applying targets to reduce these risk factors, up to 34,600 cancer deaths could be prevented from 2024 to 2047.

CONCLUSION

Our simulated results complement our previous findings on the cancer incidence burden since decreasing the overall burden of cancer will be accelerated through a combination of decreasing cancer incidence and improving survival outcomes through improved treatments.

Association of antidiabetic medication and statins with survival from ductal and lobular breast carcinoma in women with type 2 diabetes

We investigated the survival of female patients with pre-existing type 2 diabetes (T2D) diagnosed with invasive ductal carcinoma (IDC) and invasive lobular carcinoma (ILC) of breast, in relation to the use of metformin, other antidiabetic medication (ADM) and statins. The study cohort consisted of 3,165 women (2,604 with IDC and 561 with ILC). The cumulative mortality from breast cancer (BC) and from other causes was calculated using the Aalen-Johansen estimator. The cause-specific mortality rates were analysed by Cox models, and adjusted hazard ratios (HRs) were estimated for the use of different medications. No evidence of an association of metformin use with BC mortality was observed in either IDC (HR 0.92, 95% confidence interval [CI] 0.64–1.31) or ILC (HR 0.68, 95% CI 0.32–1.46) patients, when compared to other oral ADMs. The mortality from other causes was found to be lower amongst the IDC patients using metformin (HR 0.64, 95% CI 0.45–0.89), but amongst ILC patients the evidence was inconclusive (HR 1.22, 95% CI 0.64–2.32). Statin use was consistently associated with reduced mortality from BC in IDC patients (HR 0.77, 95% CI 0.62–0.96) and ILC patients (HR 0.59, 95% CI 0.37–0.96), and also mortality from other causes in IDC patients (HR 0.81, 95% CI 0.67–0.96) and in ILC patients (HR 0.66, 95% CI 0.43–1.01). We found no sufficient evidence for the possible effects of metformin and statins on the prognosis of BC being different in the two histological subtypes.

The obesity paradox in early and advanced HER2 positive breast cancer: pooled analysis of clinical trial data

While many studies have evaluated the relationship between BMI and breast cancer outcomes, it is unclear whether this relationship is consistent between early breast cancer (BC) and advanced BC. The study included 5099 patients with HER2 positive early BC (EBC) and 3496 with HER2 positive advanced BC (ABC). In the EBC cohort, higher BMI was associated with worse overall survival (OS) (HR [95% CI]: overweight = 1.30 [1.13-1.51]; obese = 1.37 [1.14-1.64], P = < 0.001), and worse disease-free survival (overweight = 1.10 [0.98-1.24]; obese = 1.20 [1.04-1.39], P = 0.061). In contrast, for the ABC cohort, higher BMI was significantly associated with improved OS (overweight = 0.85 [0.76-0.96]; obese = 0.82 [0.72-0.95], P = 0.014), and progression-free survival (overweight = 0.91 [0.83-1.01]; obese = 0.87 [0.77-0.98], P = 0.034). In this large high-quality dataset, higher BMI was independently associated with worse survival in EBC, paradoxically in ABC higher BMI was independently associated with improved survival.

Perioperative Predictive Markers for Recurrence of Esophageal Cancer after Esophagectomy

Introduction

We studied whether perioperative nutritional, immunological factors or postoperative inflammatory responses predicted esophageal cancer (EC) progression and prognosis in patients who received esophagectomies.

Methods

We evaluated preoperative prognostic nutritional index (PNI), BMI, neutrophil-to-lymphocyte ratio (NLR), intraoperative blood loss, postoperative C-reactive protein (CRP) max, recurrence-free survival (RFS), and overall survival (OS) in 111 patients with pStage I-IV squamous cell EC who received esophagectomies. Optimal cutoff values for each continuous parameter were determined by receiver operating characteristic curves and Youden indices. Univariate and multivariate Cox analyses were used to derive independent prognostic factors. Propensity score matching using inverse probability of treatment weighting was used in groups divided by Youden indices, as appropriate.

Results

Cutoff values of continuous variables were NLR: 2.27, PNI: 44.2, blood loss: 159 mL, and CRPmax: 21.7 mg/dL. In multivariate analyses, PNI, CRPmax, and intraoperative blood loss were independent prognostic factors for OS and RFS. Among patients with stage II-IV disease, low PNI was associated with shorter RFS. Postoperative respiratory complications were associated with both higher CRP and shorter RFS.

Discussion/Conclusions

Low preoperative PNI and high postoperative inflammatory response were associated with postoperative EC progression after esophagectomy. Preoperative nutritional interventions or suppression of postoperative inflammatory response, including respiratory complications, may improve patient prognosis.

Overcoming Disparities in Cancer: A Need for Meaningful Reform for Hispanic and Latino Cancer Survivors

Hispanic and Latino (HL) cancer survivors are at a critical disadvantage compared with non-Hispanic White (NHW) patients regarding sociodemographic adversities and access to equitable treatment options. By 2030, there will be about four million HL cancer survivors in the U.S., representing nearly 20% of survivors in this country. Hispanics and Latinos are subjected to significant challenges in accessing and receiving equitable care relative to NHWs. Hispanics and Latinos also experience lower rates of health insurance and financial resources, limiting health care options. These disparities often originate from disparate social determinants of health, including lower funding for education and school programs, greater neighborhood stressors and violence, lower access to healthy and affordable food, and greater barriers to community health and exercise opportunities. Even among HL cancer survivors with proper access to health care, they experience disparate treatment options, including low inclusion in clinical trials and/or access to experimental therapies. A solution to these barriers necessitates complex and systemic changes that involve, for example, investing in public health programs, increasing the diversity and cultural awareness of the medical workforce, and promoting research opportunities such as clinical trials that are inclusive of HLs. Only through meaningful reform will equitable cancer care be available for all in the U.S. regardless of racial and/or ethnic background. This article reviews some of the critical social determinants of health and biases relevant to HL cancer survivors and provides recommendations for achieving cancer health equity. IMPLICATIONS FOR PRACTICE: Hispanics and Latinos experience a significant and often disproportionate cancer-related burden compared with non-Hispanic and Latino White individuals and other racial and ethnic groups. Meaningful reform to achieve health equity in oncology should focus on approaches to gaining trust among diverse patients, cultural and community sensitivity and engagement in oncology care and research, diversifying the workforce, and improving inclusion in clinical trial participation. Taken together, these recommendations can lead to exemplary and equitable care for all patients.

Association of Obesity With Survival Outcomes in Patients With Cancer: A Systematic Review and Meta-analysis

Importance

Obesity, defined as a body mass index (BMI) greater than 30, is associated with a significant increase in the risk of many cancers and in overall mortality. However, various studies have suggested that patients with cancer and no obesity (ie, BMI 20-25) have worse outcomes than patients with obesity.

Objective

To assess the association between obesity and outcomes after a diagnosis of cancer.

Data Sources

PubMed, the Cochrane Library, and EMBASE were searched from inception to January 2020.

Study Selection

Studies reporting prognosis of patients with obesity using standard BMI categories and cancer were included. Studies that used nonstandard BMI categories, that were limited to children, or that were limited to patients with hematological malignant neoplasms were excluded. Screening was performed independently by multiple reviewers. Among 1892 retrieved studies, 203 (17%) met inclusion criteria for initial evaluation.

Data Extraction and Synthesis

The Meta-analysis of Observational Studies in Epidemiology (MOOSE) and Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines were reporting guideline was followed. Data were extracted by multiple independent reviewers. Risk of death, cancer-specific mortality, and recurrence were pooled to provide an adjusted hazard ratio (HR) with a 95% CI . A random-effects model was used for the retrospective nature of studies.

Main Outcomes and Measures

The primary outcome of the study was overall survival (OS) in patients with cancer, with and without obesity. Secondary end points were cancer-specific survival (CSS) and progression-free survival (PFS) or disease-free survival (DFS). The risk of events was reported as HRs with 95% CIs, with an HR greater than 1 associated with a worse outcome among patients with obesity vs those without.

Results

A total of 203 studies with 6 320 365 participants evaluated the association of OS, CSS, and/or PFS or DFS with obesity in patients with cancer. Overall, obesity was associated with a reduced OS (HR, 1.14; 95% CI, 1.09-1.19; P < .001) and CSS (HR, 1.17; 95% CI, 1.12-1.23; P < .001). Patients were also at increased risk of recurrence (HR, 1.13; 95% CI, 1.07-1.19; P < .001). Conversely, patients with obesity and lung cancer, renal cell carcinoma, or melanoma had better survival outcomes compared with patients without obesity and the same cancer (lung: HR, 0.86; 95% CI, 0.76-0.98; P = .02; renal cell: HR, 0.74; 95% CI, 0.53-0.89; P = .02; melanoma: HR, 0.74; 95% CI, 0.57-0.96; P < .001).

Conclusions and Relevance

In this study, obesity was associated with greater mortality overall in patients with cancer. However, patients with obesity and lung cancer, renal cell carcinoma, and melanoma had a lower risk of death than patients with the same cancers without obesity. Weight-reducing strategies may represent effective measures for reducing mortality in these patients.

Overcoming Disparities in Cancer: A Need for Meaningful Reform for Hispanic and Latino Cancer Survivors

Hispanic and Latino (HL) cancer survivors are at a critical disadvantage compared with non-Hispanic White (NHW) patients regarding sociodemographic adversities and access to equitable treatment options. By 2030, there will be about four million HL cancer survivors in the U.S., representing nearly 20% of survivors in this country. Hispanics and Latinos are subjected to significant challenges in accessing and receiving equitable care relative to NHWs. Hispanics and Latinos also experience lower rates of health insurance and financial resources, limiting health care options. These disparities often originate from disparate social determinants of health, including lower funding for education and school programs, greater neighborhood stressors and violence, lower access to healthy and affordable food, and greater barriers to community health and exercise opportunities. Even among HL cancer survivors with proper access to health care, they experience disparate treatment options, including low inclusion in clinical trials and/or access to experimental therapies. A solution to these barriers necessitates complex and systemic changes that involve, for example, investing in public health programs, increasing the diversity and cultural awareness of the medical workforce, and promoting research opportunities such as clinical trials that are inclusive of HLs. Only through meaningful reform will equitable cancer care be available for all in the U.S. regardless of racial and/or ethnic background. This article reviews some of the critical social determinants of health and biases relevant to HL cancer survivors and provides recommendations for achieving cancer health equity. IMPLICATIONS FOR PRACTICE: Hispanics and Latinos experience a significant and often disproportionate cancer-related burden compared with non-Hispanic and Latino White individuals and other racial and ethnic groups. Meaningful reform to achieve health equity in oncology should focus on approaches to gaining trust among diverse patients, cultural and community sensitivity and engagement in oncology care and research, diversifying the workforce, and improving inclusion in clinical trial participation. Taken together, these recommendations can lead to exemplary and equitable care for all patients.

Breast cancer in Trinidad and Tobago: Etiopathogenesis, histopathology and receptor study

Background:

Breast Carcinoma (BCa) is the leading cause of cancer among females in Trinidad and Tobago (TnT). This twin-island has a diversified population of 1.3 million individuals that display and are exposed to a variety of lifestyle choices that have been linked to the development of BCa. Therefore, this study aimed to identify the risk factors that influence the development of BCa, analyze the common histopathological details, and categorize BCa based on receptor study.

Methods:

Cancer information for 120 BCa cases at Eric Williams Medical Sciences Complex from 2012 to 2019 was retrieved, analyzed, and statistically estimated. The clinical details were categorized based on data tabulations, and histological assessment was performed to identify specific features. The receptor analysis was classified based on estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor-2 (HER-2neu) staining intensity. A descriptive data analysis and comparison were statistically evaluated in all these cases.

Results:

Epidemiological factors influencing the development of BCa were age with a peak of 56–65 years 27.5% (n = 33), ethnicity predominated in Indo-Trinidadians 48.33% (n = 58), and marital status primarily in unmarried/single/widowed patients 55% (n = 66). Infiltrating ductal carcinoma was the principal histopathological type 91.66% (n = 110). Receptor analysis revealed ER/PR + HER-2neu as the most common type 40% (n = 18) for therapeutic surveillance.

Conclusion:

This study highlights various epidemiological factors that influence the development of BCa among females in TnT. Histopathological analysis and receptor studies would provide a useful link between the tumor behavior and its prognosis.

Evaluation of the body mass index in breast cancer prognosis in a cohort of small-stature overweight patients: multi-center study in China

Background

Overweight and obesity have become a major health issue in the past 30 years. Several studies have already shown that obesity is significantly associated with a higher risk of developing breast cancer. However, few studies have assessed the prognostic value of the body mass index (BMI) in Asian populations. The purpose of this study was to retrospectively analyze the impact of BMI on the prognosis of breast cancer in overweight, under 160 cm tall patients from southern China.

Methods

We retrospectively analyzed data from 525 breast cancer patients diagnosed between 2003 to 2010 in a multi-center of China. After applying the exclusion criteria, 315 patients with complete data were retained. Their clinical and pathological characteristics were compared using the chi-square test. Survival analysis was performed with the Kaplan-Meier method. Univariate and multivariate analyses were performed using Cox regression to calculate hormone receptor status, HER-2 status, lymph node status, age, BMI and tumor size hazard ratio (HR), and 95% confidence intervals (95% CI).

Results

There was a strong correlation between BMI and age in the baseline feature analysis (P=0.001). After grouping the patients according to the molecular type of cancer, we found that in Luminal A and B, the BMI was related to age (P=0.002, P=0.010). The disease-free survival (DFS) and overall survival (OS) of patients with different BMI were not significantly different. This conclusion was also reached by pairwise comparison of subgroups. There was no significant difference in recurrence in patients from different BMI groups. We did not find a critical weight threshold associated with higher risk of recurrence. There were no statistically significant differences in treatment among the three BMI groups of overweight patients.

Conclusions

We found that the BMI of Chinese breast cancer patients is related to age but not prognosis.

Results of accelerated partial breast irradiation in patients not suitable for external beam irradiation stratified by GEC-ESTRO, ASTRO, and ABS guidelines

PURPOSE

This study aims to review the outcome of an institution in multicatheter/interstitial accelerated partial breast irradiation (MC-APBI) for treatment of patients with breast cancer, either with strong criteria for APBI or unable to be treated with whole-breast irradiation. The outcomes were also stratified by the American Society for Radiation Oncology, American Brachytherapy Society, and Groupe Européen de Curiethérapie-European Society for Therapeutic Radiology and Oncology patient selection criteria.

METHODS

The study includes 118 patients and 120 MC-APBI treatments, treated in a single tertiary center, between November 2003 and August 2016. The analysis is focused on the clinical baseline characteristics, local control, relapse-free survival, disease-specific survival (DSS), and overall survival.

RESULTS

In accordance to the American Society for Radiation Oncology, American Brachytherapy Society, and Groupe Européen de Curiethérapie-European Society for Therapeutic Radiology and Oncology, 17.1% were "unsuitable," 19.2% were "unacceptable," and 19.5% were "high risk," respectively. The main reasons why high-risk patients were submitted to MC-APBI were as follows: cardiopathy (n = 7), social difficulties (n = 4), and mobility limitations (n = 4). At the median followup period of 86.5 months, ipsilateral breast tumor recurrence was observed in one (0.8%) patient. The 3-year and 5-year relapse-free survival were 100% and 99.1%, respectively. DSS was 100%.

CONCLUSIONS

This study demonstrated excellent control rates, DFS, and DSS of MC-APBI, rendering APBI as an excellent treatment for patients with breast cancer, even those who are not necessarily eligible for this treatment approach. The selection criteria for ABPI diverge according to different guidelines and are based on studies with discrepancies, making extremely possible that these recommendations could be changed.

The association of body mass index and adverse clinicopathological characteristics in non-metastatic breast cancer

Background

Obesity is a global health problem. It is becoming increasingly prevalent in Saudi Arabia. High body mass index (BMI) is a risk factor for many diseases, including cancer. Noticeably, breast cancer (BC) cases in Saudi Arabia occur at a younger age than in western countries. Different lifestyle behaviors such as maintaining healthy body weight and physical activity may play a role in this. In this study, we investigated the association between BMI and BC adverse clinicopathological features.

Methods

This retrospective study was conducted by reviewing the records of women with non-metastatic BC over 4 years. The association between BMI and patients' demographics, BC histological type, receptor status, differentiation grade, tumor size, involvement of axillary lymph nodes, and performed procedures were analyzed.

Result

315 patients with non-metastatic BC were studied. The mean age at the time of diagnosis was 52.43 years ± 11.63. The mean BMI was 30.21 ± 5.77. The mean tumor size was 3.19 cm ± 3.52. The mean age of diagnosis is significantly higher in obese women than in other BMI groups (P = 0.025). Obese female patients aged ≥40 were more likely to present with larger tumor (P = 0.022) and numerically higher pathological axillary lymph nodes, trending toward statistical significance (P = 0.092).

Conclusion

The relationship between BMI and developing more aggressive BC is still not clear; in this study, we found that obese patients presented at an older age, with larger tumor and more pathologic lymph nodes. Further research to understand the impact of this finding on outcomes is warranted.

Factors Affecting Onset and Persistence of Metabolic Syndrome in Korean Breast Cancer Survivors: A Prospective Study

This study aimed to investigate the onset and persistence of metabolic syndrome in breast cancer survivors in a community setting. The study included 329 female breast cancer survivors from 39 community health examination centers located in 14 urban areas in Korea. After an average of 4.6 years of follow-up, based on the presence of metabolic syndrome at baseline and follow-up, the subjects were assigned to three groups: Non-metabolic syndrome (n = 249), onset (n = 32), and persistent (n = 48). Factors associated with the metabolic syndrome were analyzed and presented as odds ratios (ORs). Older age, postmenopausal status, lower education, and lower-income level were associated with an increased prevalence of metabolic syndrome in the onset Mets and persistent Mets group. In particular, when the breast cancer survivor was obese (≥25 kg/m²), the probability of developing metabolic syndrome was 3.33 times higher than normal-weight subjects (<23 kg/m²) and the probability of metabolic syndrome persisting was 16.34 times. When breast cancer survivors were in their 60s or older, the probability of metabolic syndrome persisting was 4.27 times higher than those in their 40s. To prevent the onset and persistence of metabolic syndrome in breast cancer survivors, health-care providers should identify risk factors. Obesity, in particular, should be controlled.

Different body mass indexes and their relation to prognosis of early-stage breast cancer in postmenopausal Mexican-Mestizo women

It has been suggested that obesity increases the incidence of metastatic breast tumors, resulting in higher rates of recurrence, and increased mortality; for that reason, the aim of this study was to investigate if different body mass indexes modified the clinicopathologic characteristics of breast cancer; as well as, the recurrence-free survival in postmenopausal Mexican-Mestizo women. Two hundred twenty postmenopausal women with operable breast cancer were included. A structured questionnaire was applied to explore the existence of potential risk factors. Body mass index (BMI) was determined in each case and patients were grouped in accordance to their BMI in: normal weight, overweight, or obesity. Kaplan-Meier survival analysis and log-rank statistic were used to estimate recurrence-free-survival differences. Hormonal receptor(+)/HER2(-) was the most frequent breast cancer in all groups. Overweight women presented a statistically significant increased risk of this molecular subtype, with an odds ratio (OR) = 5.57; 95% confidence interval (CI) = 1.54-24.86; P = .004)). In addition, the triple-negative subtype was more frequent in women with a normal BMI in comparison to women with overweight (P = .016) or women with obesity. The heterogeneity in cancer subtypes regarding BMI was observed.

Role of Adipose Tissue-Derived Autotaxin, Lysophosphatidate Signaling, and Inflammation in the Progression and Treatment of Breast Cancer

Autotaxin (ATX) is a secreted enzyme that produces lysophosphatidate (LPA), which signals through six G-protein coupled receptors, promoting tumor growth, metastasis, and survival from chemotherapy and radiotherapy. Many cancer cells produce ATX, but breast cancer cells express little ATX. In breast tumors, ATX is produced by tumor-associated stroma. Breast tumors are also surrounded by adipose tissue, which is a major bodily source of ATX. In mice, a high-fat diet increases adipocyte ATX production. ATX production in obesity is also increased because of low-level inflammation in the expanded adipose tissue. This increased ATX secretion and consequent LPA signaling is associated with decreased adiponectin production, which results in adverse metabolic profiles and glucose homeostasis. Increased ATX production by inflamed adipose tissue may explain the obesity-breast cancer association. Breast tumors produce inflammatory mediators that stimulate ATX transcription in tumor-adjacent adipose tissue. This drives a feedforward inflammatory cycle since increased LPA signaling increases production of more inflammatory mediators and cyclooxygenase-2. Inhibiting ATX activity, which has implications in breast cancer adjuvant treatments, attenuates this cycle. Targeting ATX activity and LPA signaling may potentially increase chemotherapy and radiotherapy efficacy, and decrease radiation-induced fibrosis morbidity independently of breast cancer type because most ATX is not derived from breast cancer cells.

Impact of Improved Screening Mammography Recall Lay Letter Readability on Patient Follow-Up

PURPOSE

In the setting of abnormal results on screening mammography, the Mammography Quality Standards Act mandates that patients receive a mailed "recall" lay letter informing them to return for additional follow-up imaging. The language used in this letter should be "easily understood by a lay person." In February 2019, the authors' institution revised the language of its recall lay letter to the sixth grade reading level. The purpose of this study was to analyze the effect of improved readability on patient follow-up rates.

METHODS

In this retrospective study, data from all screening mammograms at a single institution with BI-RADS category 0 assessments excluding technical recalls between February 2018 to February 2019 (pre-intervention group) and February 2019 to February 2020 (post-intervention group) were reviewed. The primary outcome measure was the percentage of patients in each intervention group who returned for their diagnostic follow-up examination within 60 days (the standard recommended by the Centers for Disease Control and Prevention). Univariate and multivariate logistic regression was done to estimate odds ratios and 95% confidence intervals for follow-up within 60 days.

RESULTS

This study included 1,987 patients in the pre-intervention group and 2,211 patients in the post-intervention group. The patient follow-up rate within 60 days increased from 90.1% (1,790 of 1,987) in the pre-intervention group to 93.9% (2,076 of 2,211) in the post-intervention group (P < .001). When controlling for imaging site, patients in the post-intervention group had 1.96-fold increased odds of returning for a diagnostic follow-up examination within 60 days (95% confidence interval, 1.52-2.53).

CONCLUSIONS

Revising an institution's recall lay letter to a lower reading grade level significantly improved timely patient follow-up.

Nutritional Indexes as Predictors of Survival and Their Genomic Implications in Gastric Cancer Patients

Gastric cancer is an aggressive malignancy with poor prognosis. Although obesity is a risk factor, an association between overweight and better survival has been reported. We explored the genomic implications of such association. Data from 940 patients were analyzed using Cox regression models and ROC curves to assess body mass index (BMI) and prognostic nutritional index (PNI) as predictors of survival. The exome sequencing of a random subset was analyzed to determine copy number variation (CNV) and single nucleotide variation (SNV), using Kruskal-Wallis and chi-square tests to evaluate their clinical implications. Overall survival was lower in patients with BMI ≤ 24.9 and PNI ≤ 29 (p < 0.001). BMI and survival were directly correlated (HR: 0.972, 95% CI: 0.953, 0.992; p-value < 0.007). A higher PNI correlated with improved survival (HR: 0.586, 95% CI: 0.429, 0.801; p-value <0.001). We found a PNI cutoff point of 41.00 for overall survival. Genomic analysis showed an association between lower BMI, less CNV events (p-value = 0.040) and loss of tumor suppressor genes (p-value = 0.021). BMI and PNI are independent factors for overall survival in gastric cancer, probably linked to variations in genomic intratumoral alterations.

The Impact of Diet on Breast Cancer Outcomes

PURPOSE OF REVIEW

Breast cancer is the most common cancer in women, yet conclusive evidence of the effects of dietary modification in breast cancer survivors is lacking. Here, we summarize the literature and highlight important data regarding the association between dietary interventions and breast cancer outcomes.

RECENT FINDINGS

Long-term follow-up and secondary analysis of the Women's Health Initiative study demonstrated a significant improvement in overall survival for women who were randomized to the low-fat diet pattern compared with those in the usual-diet group. Dietary quality as measured by Healthy Eating Index score was also associated with both a decrease in cancer-specific mortality and overall mortality. Despite current evidence on the role of diet and nutrition in breast cancer outcomes, conclusive data to translate current findings to clinical practice is lacking and requires multidisciplinary prospective research to advance the field.

Survival Outcomes According to Body Mass Index in Hepatocellular Carcinoma Patient: Analysis of Nationwide Cancer Registry Database

BACKGROUND AND AIMS

Body mass index (BMI) is known to be closely related to the prognosis and mortality of various diseases. The aim of our study was to evaluate differences in post-treatment overall survival (OS) according to BMI with hepatocellular carcinoma (HCC) and to understand the meaning of BMI. Among the records of 10,578 HCC patients registered at the Korean Central Cancer Registry from 2008 through 2014, we selected Barcelona Clinic Liver Cancer (BCLC) 0, A, and B staged HCC patients (n = 4,926). HCC patients showed a good prognosis in the order of overweight, normal weight, obesity, and underweight. However, comparing normal-weight (BMI 18.5-24.9 kg/m2) to overweight (BMI 25-29.9 kg/m2) after propensity score matching (PSM), there was no significant difference in OS (p = 0.153). Overweight males had a better prognosis than normal-weight males (p = 0.014), but, normal-weight females had a better prognosis than overweight. To determine the gender-specific OS differences, we examined the differences according to the HCC treatment type. In males, overweight patients had better OS after transarterial chemoembolization (TACE) (p = 0.039) than normal-weight, but not after surgical resection (p = 0.618) nor radiofrequency ablation (p = 0.553). However, in females, all of those HCC treatments resulted in significantly better OS in normal-weight patients than overweight. In patients with HCC of BCLC stages 0-B, unlike females, overweight males had a better prognosis than normal-weight, especially among TACE-treated patients. Our results carefully suggest that the meaning of normal BMI in patients with HCC may have gender difference.

Association of Omentin-1 with Oxidative Stress and Clinical Significances in Patients with Breast Cancer

Purpose: Breast cancer (BC) is globally the main reason of cancer-related deaths in women. Omentin-1, an anti-inflammatory and antioxidant adipokine, plays different roles in tumorigenesis and anti-oncogenic pathways. In present study, we investigated the association of omentin-1 with oxidative stress and clinical significances in healthy controls and BC patients to assess the prognostic and diagnostic value of omentin-1 in this cancer.

Methods: This case-control study included 88 BC patients and 86 healthy controls. The serum levels of omentin-1 were assessed by enzyme-linked immunosorbent assays methods. Also, total antioxidant capacity (TAC), total oxidant status (TOS) and malondialdehyde (MDA) serum levels were measured by spectrophotometer. quantitative real-time polymerase chain reaction (qRT-PCR) was applied to the measurement of gene expression of omentin-1.

Results: the serum levels of omentin-1 were significantly lower in the BC patients compared to the healthy controls (P<0.001). Moreover, gene expression of omentin-1was significantly downregulated in the BC tissues compared to the adjacent normal tissues (P<0.001). Gene expression of omentin-1and its serum levels were significantly higher in grade I compared with grade II and III (P=0.001, P<0.001, respectively). Additionally, the serum levels of omentin-1 in the p53-positive BC patients were significantly higher than the p53-negative BC patients (P=0.001). There was an inverse correlation between the serum levels of MDA and TOS with the serum levels of omentin-1 (r=-0.436, r=-461, respectively).

Conclusion: We conclude that omentin-1 may have a good prognostic and diagnostic roles in the BC patients and decreases oxidative stress in these patients.

Determinants of breast cancer in Saudi women from Makkah region: a case-control study (breast cancer risk factors among Saudi women)

Background

There are various factors that play a major role in influencing the overall health conditions of women diagnosed with breast cancer. The population of women in Makkah region are diverse, therefore it is significant to highlight the possible determinants of breast cancer in this population. This is a case-control study that assessed determinants of breast cancer including socioeconomic factors, health-related characteristics, menstrual histories and breastfeeding among postmenopausal women in Makkah region in Saudi Arabia.

Methods

A total of 432 female participants (214 cases and 218 controls) were recruited for this study. A validated questionnaire was completed by trained dietitians at King Abdullah Medical City Hospital in the Makkah region of Saudi Arabia.

Results

Results displayed that determinants of breast cancer were associated significantly (P < 0.05) with unemployment, large family size, lack of knowledge and awareness about breast cancer, obesity, sedentary lifestyle, smoking, starting menarche at an early age, as well as hormonal and non-hormonal contraceptive use. There was no effect of diabetes, hypertension, hyperlipidemia, and duration of breastfeeding on the incidence of breast cancer.

Conclusion

In summary, the results of this study accentuate the possible effect of socioeconomic factors, health-related characteristics and menstrual history on the incidence of breast cancer in postmenopausal women in the Makkah region. Education programs should be applied to increase breast cancer awareness and possibly decrease its incidence.

Predictive Role Of Body Composition Parameters In Operable Breast Cancer Patients Treated With Neoadjuvant Chemotherapy

Background

Fat tissue is strongly involved in BC tumorigenesis inducing insulin resistance, chronic inflammation and hormonal changes. Computed tomography (CT) imaging instead of body mass index (BMI) gives a reliable measure of skeletal muscle mass and body fat distribution. The impact of body composition parameters (BCPs) on chemosensitivity is still debated. We examined the associations between BCPs and tumor response to neoadjuvant chemotherapy (NC) in patients treated for operable breast cancer (BC).

Methods

A retrospective review of BC patients treated with NC in Modena Cancer Center between 2005 and 2017 was performed. BCPs, such as subcutaneous fat area (SFA), visceral fat area (VFA), lumbar skeletal muscle index (LSMI) and liver-to-spleen (L/S) ratio were calculated by Advance workstation (General Electric), software ADW server 3.2 or 4.7. BMI and BCPs were correlated with pathological complete response (pCR) and survival outcomes.

Results

407 patients were included in the study: 55% with BMI < 25 and 45% with BMI ≥ 25. 137 of them had pre-treatment CT scan imagines. Overweight was significantly associated with postmenopausal status and older age. Hormonal receptor positive BC was more frequent in overweight patients (p<0.05). Postmenopausal women had higher VFA, fatty liver disease and obesity compared to premenopausal patients. No association between BMI classes and tumor response was detected. High VFA and liver steatosis were negative predictive factors for pCR (pCR rate: 36% normal VFA vs 20% high VFA, p= 0.048; no steatosis 32% vs steatosis 13%, p=0.056). Neither BMI classes nor BCPs significantly influenced overall survival and relapse-free survival.

Conclusion

Visceral adiposity as well as steatosis were closely involved in chemosensitivity in BC patients treated with NC. Their measures from clinically acquired CT scans provide significant predictive information that outperform BMI value. More research is required to evaluate the relationship among adiposity site and survival outcomes.

Complete metastasectomy in renal cell carcinoma: a propensity-score matched by the International Metastatic RCC Database Consortium prognostic model

Introduction

We evaluated overall survival (OS) benefit of complete metastasectomy (CM) in metastatic renal cell carcinoma (mRCC) using a propensity score-matched (PSM) analysis to balance groups by age, gender and by the International Metastatic RCC Database Consortium prognostic model (IMDC).

Methods

We included patients (pts) treated at the AC Camargo Cancer Center between 2007 and 2016. Pairs were matched by age, gender and IMDC. Kaplan–Meier survival estimates and Cox proportional hazard models were used to evaluate OS on CM and no-CM group.

Results

We found 116 pts with clear cell mRCC. After PSM, the number was reduced to 74 (37 CM, 37 no-CM). The median OS for CM and no-CM was 98.3 months and 40.5 months, respectively (hazard ratio 0.24 95%CI 0.11–0.53 p < 0.001). The OS benefit of CM was confirmed on favourable and intermediate IMDC but was absent on poor IMDC. The CM group received less systemic therapy than the no-CM group. Ten pts in the CM group still have no evidence of disease (NED).

Conclusion

After matching for age, gender and IMDC, we found CM impacts on OS and also diminishes the need for systemic treatment. Survival benefit was confirmed for favourable/intermediate IMDC but not for the poor IMDC prognostic model. Further studies correlating IMDC and metastasectomy are needed to guide clinical decision-making.

Body Mass Index (BMI), BMI Change, and Overall Survival in Patients With SCLC and NSCLC: A Pooled Analysis of the International Lung Cancer Consortium

INTRODUCTION

The relationships between morbid obesity, changes in body mass index (BMI) before cancer diagnosis, and lung cancer outcomes by histology (SCLC and NSCLC) have not been well studied.

METHODS

Individual level data analysis was performed on 25,430 patients with NSCLC and 2787 patients with SCLC from 16 studies of the International Lung Cancer Consortium evaluating the association between various BMI variables and lung cancer overall survival, reported as adjusted hazard ratios (aHRs) from Cox proportional hazards models and adjusted penalized smoothing spline plots.

RESULTS

Overall survival of NSCLC had putative U-shaped hazard ratio relationships with BMI based on spline plots: being underweight (BMI < 18.5 kg/m2; aHR = 1.56; 95% confidence interval [CI]:1.43-1.70) or morbidly overweight (BMI > 40 kg/m2; aHR = 1.09; 95% CI: 0.95-1.26) at the time of diagnosis was associated with worse stage-specific prognosis, whereas being overweight (25 kg/m2 ≤ BMI < 30 kg/m2; aHR = 0.89; 95% CI: 0.85-0.95) or obese (30 kg/m2 ≤ BMI ≤ 40 kg/m2; aHR = 0.86; 95% CI: 0.82-0.91) was associated with improved survival. Although not significant, a similar pattern was seen with SCLC. Compared with an increased or stable BMI from the period between young adulthood until date of diagnosis, a decreased BMI was associated with worse outcomes in NSCLC (aHR = 1.24; 95% CI: 1.2-1.3) and SCLC patients (aHR=1.26 (95% CI: 1.0-1.6). Decreased BMI was consistently associated with worse outcome, across clinicodemographic subsets.

CONCLUSIONS

Both being underweight or morbidly obese at time of diagnosis is associated with lower stage-specific survival in independent assessments of NSCLC and SCLC patients. In addition, a decrease in BMI at lung cancer diagnosis relative to early adulthood is a consistent marker of poor survival.

Prognostic Significance of Abdominal-to-Gluteofemoral Adipose Tissue Distribution in Patients with Breast Cancer

This study aimed to evaluate the association between abdominal-to-gluteofemoral adipose tissue (AT) distribution and recurrence-free survival (RFS) in breast cancer patients. Staging F-18 fluorodexoyglucose (FDG) positron emission tomography/computed tomography (PET/CT) images of 336 women with breast cancer were retrospectively analyzed. From CT images, the volume and CT-attenuation of visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (SAT), and gluteofemoral AT were measured and the ratio of abdomen-to-gluteofemoral AT volume (AG volume ratio) was calculated. The relationships between adipose tissue parameters and RFS were assessed. Through univariate analysis, abdominal SAT volume, gluteofemoral AT volume, and AG volume ratio were significantly associated with RFS. An increase in abdominal SAT volume and AG volume ratio were associated with an increased risk of recurrence, whereas increased gluteofemoral AT volume was associated with a decreased risk of recurrence. On multivariate analysis, abdominal SAT volume, gluteofemoral AT volume, and AG volume ratio were found to be significant predictors of RFS after adjusting for clinic-histological factors. Irrespective of obesity, patients with a high AG volume ratio showed a higher recurrence rate than those with a low AG volume ratio. Increased abdominal SAT volume and decreased gluteofemoral AT volume were related to poor RFS in breast cancer patients.