Obesity and breast cancer outcomes in chemotherapy patients in New Zealand - a population-based cohort study

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.

Adipocyte mesenchymal transition contributes to mammary tumor progression

Obesity is associated with increased cancer incidence and progression. However, the relationship between adiposity and cancer remains poorly understood at the mechanistic level. Here, we report that adipocytes from tumor-invasive mammary fat undergo de-differentiation to fibroblast-like precursor cells during tumor progression and integrate into the tumor microenvironment. Single-cell sequencing reveals that these de-differentiated adipocytes lose their original identities and transform into multiple cell types, including myofibroblast- and macrophage-like cells, with their characteristic features involved in immune response, inflammation, and extracellular matrix remodeling. The de-differentiated cells are metabolically distinct from tumor-associated fibroblasts but exhibit comparable effects on tumor cell proliferation. Inducing de-differentiation by Xbp1s overexpression promotes tumor progression despite lower adiposity. In contrast, promoting lipid-storage capacity in adipocytes through MitoNEET overexpression curbs tumor growth despite greater adiposity. Collectively, the metabolic interplay between tumor cells and adipocytes induces adipocyte mesenchymal transition and contributes to reconfigure the stroma into a more tumor-friendly microenvironment.

Zhu et al. report that in mammary tumors, adipocytes undergo metabolic reprograming and de-differentiation. They acquire myofibroblast- and macrophage-like features, a process referred to as “adipocyte mesenchymal transition,” which modifies the tumor microenvironment via ECM remodeling and activation of the immune response and likely contributes to tumor progression.

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.

The impact of sarcopenic obesity on treatment outcomes in gastrointestinal cancer: A systematic review

BACKGROUND

GI tract cancer includes a broad spectrum of tumors with generally high prevalence and poor prognosis. Over the past decade sarcopenia (skeletal muscle depletion), myosteatosis, sarcopenic obesity were all shown to have a negative prognostic impact in patients with various malignancies. However, the role of sarcopenic obesity (SO) in patients with GI tumors remains controversial. We systematically reviewed data on the prevalence and prognostic impact of SO for patients with GI malignancies, undergoing surgical and/or chemotherapeutical treatment.

METHODS

This study was conducted in adherence to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. PubMed and Cochrane Library were searched for relevant original studies published between January 2008 to December 2020 reporting postoperative morbidity and mortality, long-term survival and toxicity after chemotherapeutical treatment in SO patients with GI cancer.

RESULTS

Twenty-two studies comprising 8571 patients were included. The percentage of SO patients ranged from 2.6% to 51%. The association between SO and outcomes of interest was inconsistent because of various cut-offs used to define sarcopenia and obesity. However, SO was significantly associated with the occurrence of major postoperative complications in five studies. In contrast, three studies did not show the impact of SO on postoperative complications. Three studies demonstrated that mortality rate was significantly higher among patients with SO. Five studies of systematic review revealed a statistically significant influence of SO on overall survival in multivariate analysis. However, only in one of them a significant difference was found between SO and DFS. Three studies evaluated toxicity after chemotherapy and all reported statistically significant negative impact of SO.

CONCLUSIONS

There is considerable heterogeneity in methods used to define SO in the literature and current data is limited. Standardized terminology and deeper understanding of sarcopenic obesity pathophysiology is needed to further understand the influence of obesity and sarcopenia on the clinical trajectory of patients with GI cancer.

Intracellular Nampt impairs esophageal squamous cell carcinoma neo-adjuvant chemotherapy response independent of eNampt

Nampt consists of iNampt and eNampt, might contribute to modulating obesity-related malignancies and impairing response to chemotherapy in a range of cancers. This study explored the role of Nampt and adiposity in the progression and response to neo-adjuvant chemotherapy of esophageal squamous cell carcinoma (ESCC). Patients with ESCC were treated with 2 cycles of neo-adjuvant chemotherapy, then evaluated for surgery. Tumor regression grading (TRG) and prognosis of these patients were collected. Anthropometry was well utilized. Serum eNampt was determined by enzyme-linked immunosorbent assay, iNampt expression in tissues were assessed by PCR, western blot and immunohistochemistry. eNampt in sera elevated significantly in these over-weight or obese patients, and was positively associated with body mass index (BMI), waist circumference, visceral fat area (VFA), subcutaneous fat area (SFA) and total fat area (TFA) (P<0.05). iNampt expression in the mRNA and protein levels were up-regulated in ESCC compared to their adjacent non-tumor specimens (P<0.05). iNampt protein staining revealed mainly in the cytoplasm and nuclei, while it was not related to serum eNampt, BMI, waist circumference, VFA, SFA and TFA (P>0.05). Pre-treatment iNampt, BMI, SFA, TFA and age significantly correlated with neo-adjuvant chemotherapy response, and iNampt expression and age were independent predictors (P<0.05). Pre-treatment iNampt, ypT, ypN, ypTNM stage and TRG were associated with the survival of ESCCs, and ypN stage and TRG were independent prognostic factors (P<0.05). In conclusion, iNampt impaired ESCC response to neo-adjuvant chemotherapy independent of eNampt, targeting iNampt to increase ESCC response to neo-adjuvant chemotherapy would improve the prognosis of ESCCs.

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.