Effect of Body Mass Index- and Actual Weight-Based Neoadjuvant Chemotherapy Doses on Pathologic Complete Response in Operable Breast Cancer

The impact of CT-based adipose tissue distribution and sarcopenia on treatment outcomes in patients with high-risk soft tissue sarcoma

BACKGROUND

The prognostic and predictive value of obesity and sarcopenia remains poorly defined in patients with high-risk soft tissue sarcoma (HR-STS). We sought to correlate clinical outcomes with CT-based body composition parameters in patients with HR-STS undergoing a multimodal preoperative therapy. The impact of radiologic and histopathologic response to preoperative treatment was correlated with individual fat and muscle distribution.

METHODS

Patients with locally advanced non-abdominal HR-STS and treatment with preoperative chemotherapy + regional hyperthermia (RHT) +/- radiotherapy (RT) followed by surgery between 2015 and 2022 were retrospectively evaluated. Body composition parameters measured on baseline CT scans were correlated with clinical outcomes including event-free survival (EFS) and overall survival (OS) as well as radiologic and histopathologic treatment response.

RESULTS

A total of 85 patients were included. Body composition parameters showed no significant correlation with radiologic or histopathologic treatment response. High total fat indices such as the total fat index (TFI, HR 3.56, p = 0.005) and high total fat to muscle ratio (FMR, HR 3.22, p = 0.020) were strongly associated with poor OS. Parameters for sarcopenia including skeletal muscle index (SMI) were not significantly linked to survival outcomes.

CONCLUSION

High fat indices and a high FMR are strong predictors of poor OS in patients with HR-STS. Larger studies are warranted to further clarify the prognostic impact of sarcopenia and the predictive value of body composition parameters on preoperative treatment response.

Patient Perspectives on Impact of Weight and Weight Stigma on Breast and Cervical Cancer Treatment: A Qualitative Study

BACKGROUND

Higher weight individuals report experiencing weight-based stigma in the healthcare setting; within the cancer continuum, the most robust evidence exists for cancer screening. More research is needed to understand whether and how higher weight patients experience weight stigma during cancer treatment.

METHODS

We conducted semi-structured interviews with 15 breast and 15 cervical cancer survivors diagnosed 2017-2019 in Iowa who had a pre-diagnosis body mass index of 30+ kg/m2 calculated from their driver's license height and weight. Interviews focused on whether individuals perceived being treated differently because of their weight in daily life, in healthcare, or during cancer treatment. Data were coded using a combination of inductive and deductive approaches, and analyzed using a multi-phase thematic analysis.

RESULTS

Almost all interviewees reported positive experiences during cancer treatment; several described their weight as never being an issue. Some identified weight stigma during cancer diagnosis or treatment that resulted in delayed diagnoses or changes in treatment. Many interviewees described situations where their weight was discussed negatively during cancer treatment, but most did not identify these as stigmatizing because their providers were only "concerned about [their] health." Additional themes developed included experiencing environmental stigma, the discussion of cancer recurrence by providers only as it related to weight, and misconceptions of the causes and consequences of obesity.

CONCLUSIONS

While several participants did not feel that their weight impacted cancer treatment, some reported experiences of weight stigma pre-diagnosis and during treatment. When individuals noted their weight was discussed during treatment, internalized bias may have impacted whether they considered these discussions stigmatizing.

Body Weight and Breast Cancer Treatment Experiences: Results From the Share Thoughts on a Breast Cancer Study

PURPOSE

Differences in breast cancer recurrence and survival occur by body size; the role of treatment differences in these disparities has been underexplored. Our objective was to evaluate differences in treatments received, patient experiences of care, and treatment decision-making processes among breast cancer survivors by body size.

METHODS

We used data from the Share Thoughts on Breast Cancer study. Participants (n = 1198) completed a survey that included information on demographics, treatments received, quality of care, and decision-making. We used descriptive statistics to evaluate differences in survey response by BMI category, and multivariable-adjusted multinomial and logistic regression to examine associations of BMI with treatments received.

RESULTS

Those with higher BMI were more likely to be older, report fair/poor health, not have a college-level education, be non-white, not be insured, have an income under $50,000, be unemployed, and report a history of several chronic diseases. Although there were unadjusted associations, after adjustment, women with obesity were not significantly less likely to receive mastectomy [OR 0.79 (0.50, 1.26) and OR 0.66 (0.38, 1.16), for BMI 30-35 and 35+ kg/m2 respectively] or contralateral prophylactic mastectomy [OR 0.92 (0.59, 1.44) and OR 0.80 (0.46, 1.39)] than those without obesity. Similarly, we found no association of BMI with reconstructive surgery [OR 0.97 (0.58, 1.60) and OR 0.58 (0.30, 1.11)] after adjustment. Women with obesity were less likely to report that their breast cancer care was excellent or very good (p = 0.026).

CONCLUSIONS

We observed no differences in breast cancer treatments received by BMI after adjustment for key covariates in this study sample. Further research is necessary to determine why quality of care may be perceived as lower among women with obesity.

Excess body weight significantly affects systemic and tumor inflammatory status and correlates to poor prognosis parameters in patients with breast cancer

Introduction

Obesity is a pro-inflammatory disease critical for developing breast cancer (BC), which impacts the profiles of systemic inflammatory mediators and determinants of different disease clinical outcomes remains little explored.

Methods

A total of 195 patients diagnosed with breast cancer were included. Aiming to exclude chemotherapy interference on circulating mediators, samples were collected at diagnosis, out of the treatment period. Patients were classified as normal weight (BMI up to 24.9 kg/m2) or overweight (BMI ≥25.0 kg/m2). Serum levels of IL-4, IL-12, hydroperoxides, and nitric oxide metabolites (NOx) were measured. Also, tumor expression of inducible nitric oxide synthase (iNOS), TGF-β1, CD4⁺, and CD8⁺ lymphocytes were evaluated.

Results

IL-4 levels were significantly increased in the overweight BC group (p = 0.0329), including patients with luminal B subtype (p = 0.0443), presence of lymph node metastases (p = 0.0115) and age of diagnosis below 50 years, (p = 0.0488). IL-12 levels were significantly increased in overweight BC patients with lymph node metastases (p = 0.0115). Hydroperoxides were increased in overweight BC patients (p = 0.0437), including those with tumors smaller than 2 cm (p = 0.05). NOx levels were also increased in overweight BC patients, including those with luminal B disorders (p = 0.0443), high-grade tumors (p = 0.0351) and lymph node metastases (p = 0.0155). The expression of iNOS (p < 0.001) and TCD4+ lymphocytes (p = 0.0378) was significantly investigated in tumor biopsies from overweight BC women.

Conclusions

These data provide a picture of the influence of excess body weight on inflammatory mediators' systemic and tumoral profiles, especially in patients displaying poor outcome BC.

Developing a Prediction Model for Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer: A Comparison of Model Building Approaches

The optimal characteristics among patients with breast cancer to recommend neoadjuvant chemotherapy is an active area of clinical research. We developed and compared several approaches to developing prediction models for pathologic complete response (pCR) among patients with breast cancer in Alberta.

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.

Clinical verification of body mass index and tumor immune response in patients with breast cancer receiving preoperative chemotherapy

Purpose

The body mass index (BMI) is commonly used as a simple indicator of obesity; patients with early-stage breast cancer who are obese (OB) per BMI measurements have been shown to have high postoperative recurrence and low survival rates. On the other hand, it has been shown that lymphocytes present in the vicinity of malignant growths that are involved in the tumors’ immune responses influence the efficacy chemotherapy. Therefore, we hypothesized that OB patients with breast cancer have a lower density of tumor-infiltrating lymphocytes (TILs), which may influence the therapeutic effect of preoperative chemotherapy (POC). In this study, we measured pretreatment BMI and TILs in patients with breast cancer who underwent POC, examined the correlations between these two factors, and retrospectively analyzed their therapeutic outcomes and prognoses.

Methods

The participants in this study were 421 patients with breast cancer who underwent surgical treatment after POC between February 2007 and January 2019. The patient’s height and weight were measured before POC to calculate the BMI (weight [kg] divided by the square of the height [m²]). According to the World Health Organization categorization, patients who weighed under 18.5 kg/m² were classified as underweight (UW), those ≥18.5 kg/m² and > 25 kg/m² were considered normal weight (NW), those ≥25 kg/m² and < 30 kg/m² were overweight (OW), and those ≥30 kg/m² were OB. The TILs were those lymphocytes that infiltrated the tumor stroma according to the definition of the International TILs Working Group 2014.

Results

The median BMI was 21.9 kg/m² (range, 14.3–38.5 kg/m²); most patients (244; 64.5%) were NW. Among all 378 patients with breast cancer, the TIL density was significantly lower in OB than in NW and OW patients (vs. NW: p = 0.001; vs. OW: p = 0.003). Furthermore, when examining patients with each breast cancer type individually, the OS of those with TNBC who had low BMIs was significantly poorer than that of their high-BMI counterparts (log rank p = 0.031).

Conclusions

Our data did not support the hypothesis that obesity affects the tumor immune microenvironment; however, we showed that being UW does affect the tumor immune microenvironment.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08857-7.

Appropriate Systemic Therapy Dosing for Obese Adult Patients With Cancer: ASCO Guideline Update

PURPOSE

To provide recommendations for appropriate dosing of systemic antineoplastic agents in obese adults with cancer.

METHODS

A systematic review of the literature collected evidence regarding dosing of chemotherapy, immunotherapy, and targeted therapies in obese adults with cancer. PubMed and the Cochrane Library were searched for randomized controlled trials, meta-analyses, or cohort studies published from November 1, 2010, through March 27, 2020. ASCO convened an Expert Panel to review the evidence and formulate recommendations.

RESULTS

Sixty studies, primarily retrospective, were included in the review. Overall, the evidence supported previous findings that obese adult patients tolerate full, body-size-based dosing of chemotherapy as well as nonobese patients. Fewer studies have addressed the dosing of targeted therapies and immunotherapies in relation to safety and efficacy in obese patients.

RECOMMENDATIONS

The Panel continues to recommend that full, weight-based cytotoxic chemotherapy doses be used to treat obese adults with cancer. New to this version of the guideline, the Panel also recommends that full, approved doses of immunotherapy and targeted therapies be offered to obese adults with cancer. In the event of toxicity, the consensus of the Panel is that dose modifications of systemic antineoplastic therapies should be handled similarly for obese and nonobese patients. Important areas for future research include the impact of sarcopenia and other measures of body composition on optimal antineoplastic dosing, and more customized dosing based on pharmacokinetic or pharmacogenetic factors.Additional information is available at www.asco.org/supportive-care-guidelines.

Association of relative dose intensity with BMI and pathologic complete response in patients treated with neoadjuvant chemotherapy for breast cancer

PURPOSE

Previous work found that lower BMI is associated with a pathologic complete response (pCR) following neoadjuvant chemotherapy for breast cancer. Relative dose intensity (RDI) of chemotherapy is an important marker of treatment tolerability. We hypothesized that patients with low BMI would have higher RDI than patients with high BMI, explaining the mechanism for the association between BMI and pCR.

METHODS

We conducted a retrospective study of women treated with neoadjuvant chemotherapy for stage I-III breast cancer at Yale New Haven Hospital-Smilow Cancer Hospital. We reviewed medical records to determine tumor characteristics, chemotherapy doses, and reasons for dose reductions or delays. The treatment RDI was calculated using published methods. Chi-squared analyses were conducted to determine the associations between RDI and BMI and between RDI and pCR.

RESULTS

Our cohort (n = 237) had an average age of 53 years (SD 13) and mean BMI of 29.5 kg/m² (SD 7.0). Fifty-eight patients (24%) received <85% RDI, and 61% of patients experienced at least one dose reduction or delay. BMI was not associated with RDI (p = 0.71), and RDI was not associated with pCR (p = 0.31); however, fewer dose delays was associated with pCR (p = 0.02). The most common reasons for dose reduction or delays were neuropathy, myelosuppression, and personal reasons.

CONCLUSIONS

Nearly one quarter of our cohort had RDI <85%. Although RDI overall was not associated with pCR, having fewer dose delays was associated with pCR. Our results highlight a need for improved patient adherence to and tolerability of neoadjuvant chemotherapy to minimize treatment delays.

Obesity and Breast Cancer: A Case of Inflamed Adipose Tissue

Obesity is associated with an increased risk of estrogen receptor-positive breast cancer in postmenopausal women and a worse prognosis for all major breast cancer subtypes regardless of menopausal status. While the link between obesity and the pathogenesis of breast cancer is clear, the molecular mechanism of this association is not completely understood due to the complexity of both obesity and breast cancer. The aim of this review is to highlight the association between obesity and breast cancer and discuss the literature, which indicates that this association is due to chronic adipose tissue inflammation. We will discuss the epidemiological data for the association between breast cancer incidence and progression as well as the potential molecular mechanisms for this association. We will focus on the role of inflammation within the adipose tissue during the pathogenesis of breast cancer. A better understanding of how obesity and adipose tissue inflammation affects the pathogenesis of breast cancer will lead to new strategies to reduce breast cancer risk and improve patient outcomes for obese patients.

Different Cardiotoxicity of Palbociclib and Ribociclib in Breast Cancer: Gene Expression and Pharmacological Data Analyses, Biological Basis, and Therapeutic Implications

Breast cancer is the most frequent tumor in women. The recent advent of cyclin-dependent kinase (CDK) 4/6 inhibitors palbociclib and ribociclib has represented a major step forward for patients with hormone receptor-positive breast cancer. These two agents have showed similar efficacy in terms of breast cancer outcome but different cardiotoxic effects. In particular, ribociclib, but not palbociclib, has been associated with QT interval prolongation, and the mechanisms underlying this event are still unclear. In order to clarify such difference, we matched the candidate genes associated with QT interval prolongation with genes whose expression is altered following palbociclib or ribociclib treatment. We also investigated whether pharmacokinetic and pharmacodynamic characteristics, such as IC₅₀ (hERG) [concentration of drug producing 50% inhibition (human ether-à-go-go related gene)] and maximum concentration (C_max), could justify the different effects on QT interval prolongation. Our results show that ribociclib, but not palbociclib, could act by down-regulating the expression of KCNH2 (encoding for potassium channel hERG) and up-regulating SCN5A and SNTA1 (encoding for sodium channels Nav1.5 and syntrophin-α1, respectively), three genes associated with long QT syndrome. Consistent with the cardiotoxicity induced by ribociclib, its IC₅₀ (hERG)/free concentration (C_{max free}) ratio is closer to the safety threshold than that of palbociclib. In summary, we hypothesize that the different cardiotoxicity associated with ribociclib and palbociclib could be due to the alteration of potassium and sodium channels induced by ribociclib. A better comprehension of the mechanisms of cardiac channelopathies and drug-induced QT interval prolongation will be fundamental to avoid serious and potentially lethal adverse events and, as a consequence, optimize the management of breast cancer patients.

What is the most useful body composition parameter for predicting toxicities of preoperative chemotherapy for gastric cancer?

PURPOSE

Preoperative chemotherapy is an effective treatment option for resectable gastric cancer, but it is associated with various adverse events (AEs). This study aimed to identify the body composition parameters that most accurately predicted the incidence of AEs in preoperative chemotherapy for gastric cancer.

METHODS

The present study included a total of 114 patients who received preoperative chemotherapy for resectable gastric cancer. We estimated various body composition parameters using computed tomography images obtained before preoperative chemotherapy. Their associations with the incidence of hematological (grade ≥ 3) and non-hematological (grade ≥ 2) AEs were analyzed by multivariate logistic regression analyses.

RESULTS

Seventy-two of the 114 (63.2%) patients experienced hematological AEs (grade ≥ 3), specifically neutropenia in 68 (59.6%), anemia in 5 (4.9%), and thrombocytopenia in 3 (2.6%). Meanwhile, 59 patients (51.8%) experienced non-hematological AEs (grade ≥ 2), namely hypoalbuminemia in 31 (27.2%), anorexia in 24 (21.1%), and febrile neutropenia in 17 (14.9%). Multivariate analyses revealed that a low psoas muscle index (PMI) was an independent risk factor for the incidence of both hematological and non-hematological AEs.

CONCLUSIONS

Patients with a low PMI experienced an increased incidence of hematological and non-hematological toxicities during preoperative chemotherapy for gastric cancer. Clinicians should be aware of these risks in this population.

Weight Gain during Neoadjuvant Chemotherapy is Associated with Worse Outcome among the Patients with Operable Breast Cancer

Purpose

This study was aimed at identifying the influence of initial weight and weight change during neoadjuvant chemotherapy (NAC) on pathologic complete response (pCR) and long-term survival in Chinese patients with operable breast cancer.

Methods

We conducted a retrospective study using data from 409 female patients who received NAC for stage II or III breast cancer and had complete record of body mass index (BMI) before and after NAC. BMI of < 25 kg/m² was categorized as normal weight/underweight (NW/UW); 25.0–29.9 kg/m² was categorized as overweight (OW); ≥30 kg/m² was categorized as obese (OB). BMI change was defined as the difference in BMI between day 1 of the first cycle of NAC and the day before surgery. A BMI gain or loss of > 2 kg/m² following NAC was considered to be significant, else was considered stable. The study end points included pCR rates, disease-free survival (DFS), and overall survival (OS).

Results

The median follow-up time was 43.2 (8.9–93.6) months. The average BMI was 23.40 ± 3.04 kg/m² before NAC and 23.66 ± 3.02 kg/m² after NAC (t = −3.604, p < 0.001). The pCR rate was 25.3% in the NW/UW group and 24.1% in the OW/OB group (p = 0.811), and was similar between the BMI-gain (23.3%) and the BMI-stable/loss (25.1%) groups (p = 0.787). Initial BMI was an independent prognostic factor for DFS (hazard ratio, 1.69; 95% confidence interval [CI], 1.13–2.53; p = 0.011) but not for OS, while BMI-gain was an independent prognostic factor for both DFS (hazard ratio, 2.09; 95% CI, 1.28–3.42; p = 0.003) and OS (hazard ratio, 1.97; 95% CI, 1.04–3.74; p = 0.039).

Conclusion

BMI increased after NAC in Chinese breast cancer patients. Initial BMI and BMI change during NAC were not associated with pCR but were reversely associated with survival.