Loss of skeletal muscle during neoadjuvant chemotherapy is related to decreased survival in ovarian cancer patients

Preparation of Liposome Gel by Calcium Cross-Linking Induces the Long-Term Release of DOX to Improve the Antitumor Effect

Doxorubicin (DOX) is one of the most commonly used anticancer drugs; however, its clinical application is greatly limited due to its toxicity and chemotherapy resistance. The delivery of DOX by liposomes (Lipos) can improve the blood circulation time in vivo and reduce toxic side effects, but the drug's accumulation in the tumor is often insufficient for effective treatment. In this study, we present a calcium cross-linked liposome gel for the encapsulation of DOX, demonstrating its superior long-term release capabilities compared to conventional Lipos. By leveraging this enhanced long-term release, we can enhance drug accumulation within tumors, ultimately leading to improved antitumor efficacy. Lipos were prepared using the thin-film dispersion method in this study. We utilized the ion-responsiveness of glutathione-gelatin (GSH-GG) to form the gel outside the Lipos and named the nanoparticles coated with GSH-GG on the outside of Lipos as Lipos@GSH-GG. The average size of Lipos@GSH-GG was around 342.9 nm, with a negative charge of -25.6 mV. The in vitro experiments revealed that Lipos@GSH-GG exhibited excellent biocompatibility and slower drug release compared to conventional Lipos. Further analysis of cellular uptake and cytotoxicity demonstrated that Lipos@GSH-GG loading DOX (DOX&Lipos@GSH-GG) exhibited superior long-term release effects and lower toxic side effects compared to Lipos loading DOX (DOX&Lipos). Additionally, the findings regarding the long-term release effect in vivo and the tumor accumulation within tumor-bearing mice of Lipos@GSH-GG suggested that, compared to Lipos, it demonstrated superior long-term release capabilities and achieved greater drug accumulation within tumors. In vivo antitumor efficacy experiments showed that DOX&Lipos@GSH-GG demonstrated superior antitumor efficacy to DOX&Lipos. Our study highlights Lipos@GSH-GG as a promising nanocarrier with the potential to enhance efficacy and safety by means of long-term release effects and may offer an alternative approach for effective antitumor therapy in the future.

The impact of chemotherapy on adipose tissue remodeling: The molecular players involved in this tissue wasting

The depletion of visceral and subcutaneous adipose tissue (AT) during chemotherapy significantly correlates with diminished overall survival and progression-free survival. Despite its clinical significance, the intricate molecular mechanisms governing this AT loss and its chemotherapy-triggered initiation remain poorly understood. Notably, the evaluation of AT remodeling in most clinical trials has predominantly relied on computerized tomography scans or bioimpedance, with molecular studies often conducted using animal or in vitro models. To address this knowledge gap, a comprehensive narrative review was conducted. The findings underscore that chemotherapy serves as a key factor in inducing AT loss, exacerbating cachexia, a paraneoplastic syndrome that significantly compromises patient quality of life and survival. The mechanism driving AT loss appears intricately linked to alterations in AT metabolic remodeling, marked by heightened lipolysis and fatty acid oxidation, coupled with diminished lipogenesis. However, adipocyte stem cells' lost ability to divide due to chemotherapy also appears to be at the root of the loss of AT. Notably, chemotherapy seems to deactivate the mitochondrial antioxidant system by reducing key regulatory enzymes responsible for neutralizing reactive oxygen species (ROS), thereby impeding lipogenesis. Despite FDG-PET evidence of AT browning, no molecular evidence of thermogenesis was reported. Prospective investigations unraveling the molecular mechanisms modulated in AT by chemotherapy, along with therapeutic strategies aimed at preventing AT loss, promise to refine treatment paradigms and enhance patient outcomes.

Sarcopenia among treated cancer patients before and after neoadjuvant chemotherapy: a systematic review and meta-analysis of high-quality studies

BACKGROUND

Neoadjuvant chemotherapy, used to shrink tumors before surgery, is increasingly applied in clinical practice. However, retrospective studies indicate that it may increase sarcopenia rates and consequently result in an elevated occurrence rate of postoperative severe complications such as severe surgical incision infection, severe respiratory failure, and severe postoperative hemorrhage, especially in the elderly population. Currently, no systematic analysis examines the association between neoadjuvant chemotherapy and sarcopenia. This study aims to fill this gap with a comprehensive meta-analysis focused on this critical aspect of the field.

METHODS

A systematic literature search was conducted in the PubMed and Web of Science databases from their inception to January 2024. The included studies encompassed patients who received neoadjuvant chemotherapy and underwent computed tomography (CT) scans both before and after treatment to calculate skeletal muscle index (SMI) or categorize them for the presence of sarcopenia. The determination of sarcopenia status was based on well-established and validated threshold criteria. Data extraction was performed independently by two reviewers. A meta-analysis was employed to estimate the pooled odds ratio (OR) and its corresponding 95% confidence interval (95% CI) to assess the risk of neoadjuvant chemotherapy-induced muscle reduction.

RESULTS

In the 14 studies with complete categorical variable data, comprising 1853 patients, 773 patients were identified as having sarcopenia before neoadjuvant treatment and 941 patients had sarcopenia after neoadjuvant therapy. The OR and its 95% CI was calculated as 1.51 [1.31, 1.73]. Among these, 719 patients had digestive system cancer, with 357 patients having sarcopenia before neoadjuvant treatment and 447 patients after, resulting in an OR of 1.74 [1.40, 2.17]. In the remaining 1134 patients with non-digestive system cancers, 416 were identified as having sarcopenia before neoadjuvant treatment, and 494 patients had sarcopenia after, with an OR of 1.37 [1.15, 1.63]. Additionally, in seven studies with complete continuous variable data, including 1228 patients, the mean difference in the change of SMI before and after neoadjuvant treatment was  - 1.13 [- 1.65,  - 0.62]. After excluding low-quality small-sample studies with fewer than 50 patients, the same trend was observed in the analysis.

CONCLUSION

The risk of muscle reduction significantly increases in cancer patients after neoadjuvant chemotherapy and digestive system cancers tend to have a higher risk of developing sarcopenia post-treatment compared to non-digestive system cancers.

Prognostic Significance of the Cachexia Index in Patients with Non-Small-Cell Lung Cancer and Brain Metastases after Stereotactic Radiotherapy

Background

The cachexia index (CXI) has been proposed as a novel biomarker of cancer cachexia. We aimed to investigate the association between CXI and survival outcomes after stereotactic radiotherapy (SRT) in patients with non-small cell lung cancer (NSCLC) and brain metastases.

Methods

Data from 145 patients with NSCLC, who underwent SRT for brain metastases between April 2016 and August 2020, were retrospectively analyzed. Cachexia index was calculated as skeletal muscle index (SMI) × serum albumin level/neutrophil-to-lymphocyte ratio, whereas SMI was calculated from computed tomography images captured at the L1 level. Kaplan-Meier curves and Cox proportional hazards models were used to assess progression-free survival (PFS) and overall survival (OS). The prognostic values of CXI and other cachexia biomarkers were assessed using receiver operating characteristic (ROC) curve analysis.

Results

Lower pretreatment CXI (<30.8) was significantly associated with older age (P = .039), lower Karnofsky performance score (P = .009), and a high likelihood of extracranial metastases (P = .001). Patients with a lower pretreatment CXI had a significantly shorter PFS and OS than those with a higher CXI (P < .001). Multivariate analysis revealed that pretreatment CXI was an independent risk factor for both PFS, hazard ratio (HR) = 2.375; 95% confidence interval (CI) = 1.610-3.504; P < .001, and OS, HR = 2.340; 95% CI = 1.562-3.505; P < .001. Compared with other biomarkers, pretreatment CXI had the highest area under the ROC curve value for prognostic assessment, reaching 0.734. Moreover, the loss of CXI was a strong risk factor for survival independent of pretreatment CXI (P = .011).

Conclusions

Cachexia index may serve as a clinically useful tool for predicting survival outcomes of patients with NSCLC and brain metastases who undergo SRT.

Weight loss during neoadjuvant chemotherapy impacts perioperative outcomes in patients undergoing surgery for pancreatic cancer

BACKGROUND

While use of neoadjuvant chemotherapy (NAC) in pancreatic adenocarcinoma (PDAC) downstages cancers to be eligible for resection, weight loss during the neoadjuvant period due to cancer progression, gastric outlet obstruction, or neoadjuvant therapy itself is an area of concern. The goal of this study is to determine the effect of weight loss during NAC on perioperative outcomes of pancreatectomies.

METHODS

The NSQIP database 2014-2019 was utilized to study patients who received NAC for PDAC and underwent significant weight loss, defined as at least 10 % body weight loss in the six months prior to surgery. Univariate and multivariate analyses were conducted using Fisher's Exact Test, Pearson's Chi-squared Test, and logistic regression.

RESULTS

Of the 5590 PDAC patients who received NAC, 913 (16%) experienced significant weight loss. Patients who experienced significant weight loss were more likely to experience at least one complication compared to those who did not undergo weight loss (42.2% vs. 38.7%, p = 0.023). Those who had significant weight loss were more likely to undergo unplanned intubation postoperatively (3.8% vs 2.2 %, p = 0.004), have postoperative ventilator need >48 h (3.7% vs 1.8%, p < 0.001), have postoperative septic shock (3.9% vs 1.8 %, p < 0.001), and undergo reoperation (6.0% vs 4.3%, p = 0.027). However, there were no differences for pancreatic fistula (7.7% vs 9.3 %, p = 0.15), readmission rates (15% vs 15 %, p = 0.7), or 30-day mortality (1.5% vs 1.2%, p = 0.5). Utilizing logistic regression, BMI (OR: 1.05, p = 0.032), significant weight loss (OR = 1.18, p = 0.025), sex (OR = 1.26 with female baseline, p < 0.001), history of COPD (OR = 1.39, p = 0.012), hypertensive medication use (OR = 1.18, p = 0.004), and pancreatic radiotherapy (OR = 1.16, p = 0.010) were independent preoperative predictors of a post-operative complication.

CONCLUSIONS

Nutritional measures to stabilize weight during NAC should be considered to decrease post-pancreatectomy complications.

Mechanisms of Ovarian Cancer-Associated Cachexia

Cancer-associated cachexia occurs in 50% to 80% of cancer patients and is responsible for 20% to 30% of cancer-related deaths. Cachexia limits survival and treatment outcomes, and is a major contributor to morbidity and mortality during cancer. Ovarian cancer is one of the leading causes of cancer-related deaths in women, and recent studies have begun to highlight the prevalence and clinical impact of cachexia in this population. Here, we review the existing understanding of cachexia pathophysiology and summarize relevant studies assessing ovarian cancer-associated cachexia in clinical and preclinical studies. In clinical studies, there is increased evidence that reduced skeletal muscle mass and quality associate with worse outcomes in subjects with ovarian cancer. Mouse models of ovarian cancer display cachexia, often characterized by muscle and fat wasting alongside inflammation, although they remain underexplored relative to other cachexia-associated cancer types. Certain soluble factors have been identified and successfully targeted in these models, providing novel therapeutic targets for mitigating cachexia during ovarian cancer. However, given the relatively low number of studies, the translational relevance of these findings is yet to be determined and requires more research. Overall, our current understanding of ovarian cancer-associated cachexia is insufficient and this review highlights the need for future research specifically aimed at exploring mechanisms of ovarian cancer-associated cachexia by using unbiased approaches and animal models representative of the clinical landscape of ovarian cancer.

Re-Evaluating Chemotherapy Dosing Strategies for Ovarian Cancer: Impact of Sarcopenia

We investigated the impact of sarcopenia on adjuvant chemotherapy dosing in advanced epithelial ovarian cancer (EOC). The chemotherapy dosing and toxicity of 173 eligible patients who underwent cytoreductive surgery and adjuvant chemotherapy at a single institution were analyzed. Patients with a skeletal muscle index less than 39 cm2/m2 measured on a CT scan were considered sarcopenic. Sarcopenic and non-sarcopenic patients were compared with regard to relative dose intensity (RDI), completion of scheduled chemotherapy, toxicity, and survival. A total of 62 (35.8%) women were sarcopenic. Sarcopenic women were less likely to complete at least six cycles of chemotherapy (83.9% vs. 95.5%, p = 0.02). The mean RDI for both carboplatin (80.4% vs. 89.4%, p = 0.03) and paclitaxel (91.9% vs. 104.1%, p = 0.03) was lower in sarcopenic patients compared to non-sarcopenic patients. Despite these differences in chemotherapy, there was no difference in neutropenia or median overall survival (3.99 vs. 4.57 years, p = 0.62) between the sarcopenic and non-sarcopenic women, respectively. This study highlights the importance of considering lean body mass instead of body weight or surface area in chemotherapy dosing formulas for sarcopenic women with advanced EOC. Further research is needed to optimize chemotherapy strategies based on individual body composition, potentially leading to improved dosing strategies in this population.

Skeletal muscle morphology in patients receiving primary versus interval cytoreductive surgery for advanced high-grade serous ovarian cancer

OBJECTIVE

Our primary aim was to compare muscle morphology (skeletal muscle mass and density) between patients who underwent primary cytoreductive surgery versus interval cytoreductive surgery for advanced high-grade serous ovarian cancer. Secondarily, we explored the associations of muscle morphology with survival outcomes.

METHODS

We retrospectively analysed computed tomography (CT) images for 88 ovarian cancer patients (aged 38-89 years) to calculate skeletal muscle index (cm2/m2) and skeletal muscle density (Hounsfield units (HU)). A skeletal muscle index of <38.5 cm2/m2 and skeletal muscle density of <33.7 HU were classified as low. Analyses included repeated measures analysis of covariance and multivariable Cox proportional hazards regression.

RESULTS

At baseline, 44.3% of patients had low skeletal muscle index and 50.6% had low skeletal muscle density, with interval surgery patients having significantly lower mean skeletal muscle density than primary surgery patients (32.2±8.9 vs 37.3±8.6 HU, p=0.014). Although both groups had similar reductions in skeletal muscle index following treatment (p=0.49), primary surgery patients had a greater reduction in skeletal muscle density compared with interval surgery patients (-2.4 HU, 95% CI -4.3 to -0.5, p=0.016). Patients who experienced skeletal muscle density loss >2% during treatment (HR 5.16, 95% CI 1.33 to 20.02) and had low skeletal muscle density post-treatment (HR 58.87, 95% CI 3.70 to 935.68) had significantly worse overall survival.

CONCLUSION

Low skeletal muscle index and skeletal muscle density were prevalent at ovarian cancer diagnosis. While both groups experienced muscle mass loss, greater reductions in skeletal muscle density occurred in patients undergoing primary surgery. In addition, skeletal muscle density loss during treatment and low skeletal muscle density post-treatment were associated with poorer overall survival. Supportive care involving resistance exercise targeting muscle hypertrophic drive, and nutrition counseling during and after ovarian cancer treatment may help preserve/enhance muscle mass and density.

Effect of exercise on body composition among women with ovarian cancer

PURPOSE

Obesity is associated with a higher risk of mortality in women with ovarian cancer. Exercise has improved body composition among cancer survivors, yet no randomized controlled trial has explored the effect of exercise on body composition in women with ovarian cancer. In this analysis, we examined the effect of a six-month aerobic exercise intervention on body composition among ovarian cancer survivors in the Women's Activity and Lifestyle Study in Connecticut (WALC).

METHODS

Women with ovarian cancer (N = 144) were randomized in a 1:1 ratio to 6 months of an aerobic exercise intervention or attention-control, and body composition was measured as a secondary outcome at baseline and 6 months via dual-energy X-ray absorptiometry (DEXA). Women with at least one DEXA scan were included in the analysis (N = 103).

RESULTS

On average, participants were 57.1 (± 8.7) years old and 1.6 (± 0.9) years since diagnosis. Women randomized to exercise maintained weight during the trial (- 0.11 kg, P = 0.82), while women in attention-control gained weight (+ 1.40 kg, P = 0.03); however, the between-group difference did not reach statistical significance (P = 0.09). We found no statistically significant differences by study arm for changes in body fat percentage, bone mineral density, or lean body mass.

CONCLUSIONS

Weight was maintained as a result of a 6-month aerobic exercise intervention among post-treatment ovarian cancer survivors. Future exercise and healthy eating interventions should consider additional measures (e.g., computer tomography scans, D3-creatinine) to more accurately assess changes in body composition.

IMPLICATIONS FOR CANCER SURVIVORS

Moderate-intensity aerobic exercise may help ovarian cancer survivors maintain weight.

Explainable machine learning model for predicting skeletal muscle loss during surgery and adjuvant chemotherapy in ovarian cancer

BACKGROUND

Skeletal muscle loss during treatment is associated with poor survival outcomes in patients with ovarian cancer. Although changes in muscle mass can be assessed on computed tomography (CT) scans, this labour-intensive process can impair its utility in clinical practice. This study aimed to develop a machine learning (ML) model to predict muscle loss based on clinical data and to interpret the ML model by applying SHapley Additive exPlanations (SHAP) method.

METHODS

This study included the data of 617 patients with ovarian cancer who underwent primary debulking surgery and platinum-based chemotherapy at a tertiary centre between 2010 and 2019. The cohort data were split into training and test sets based on the treatment time. External validation was performed using 140 patients from a different tertiary centre. The skeletal muscle index (SMI) was measured from pre- and post-treatment CT scans, and a decrease in SMI ≥ 5% was defined as muscle loss. We evaluated five ML models to predict muscle loss, and their performance was determined using the area under the receiver operating characteristic curve (AUC) and F1 score. The features for analysis included demographic and disease-specific characteristics and relative changes in body mass index (BMI), albumin, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR). The SHAP method was applied to determine the importance of the features and interpret the ML models.

RESULTS

The median (inter-quartile range) age of the cohort was 52 (46-59) years. After treatment, 204 patients (33.1%) experienced muscle loss in the training and test datasets, while 44 (31.4%) patients experienced muscle loss in the external validation dataset. Among the five evaluated ML models, the random forest model achieved the highest AUC (0.856, 95% confidence interval: 0.854-0.859) and F1 score (0.726, 95% confidence interval: 0.722-0.730). In the external validation, the random forest model outperformed all ML models with an AUC of 0.874 and an F1 score of 0.741. The results of the SHAP method showed that the albumin change, BMI change, malignant ascites, NLR change, and PLR change were the most important factors in muscle loss. At the patient level, SHAP force plots demonstrated insightful interpretation of our random forest model to predict muscle loss.

CONCLUSIONS

Explainable ML model was developed using clinical data to identify patients experiencing muscle loss after treatment and provide information of feature contribution. Using the SHAP method, clinicians may better understand the contributors to muscle loss and target interventions to counteract muscle loss.

Association of malignant ascites with systemic inflammation and muscle loss after treatment in advanced-stage ovarian cancer

BACKGROUND

Malignant ascites is prevalent in advanced-stage ovarian cancer and may facilitate identification of the drivers of muscle loss. This study aimed to evaluate the association of ascites with changes in systemic inflammation and muscle after treatment of advanced-stage ovarian cancer.

METHODS

We evaluated 307 patients with advanced-stage (III/IVA) ovarian cancer who underwent primary debulking surgery and adjuvant platinum-based chemotherapy between 2010 and 2019. The changes in skeletal muscle index (SMI) and radiodensity (SMD) were measured using pre-surgery and post-chemotherapy portal-venous phase contrast-enhanced computed tomography scans at L3. Systemic inflammation was measured using albumin levels, prognostic nutritional index (PNI), neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR). Primary endpoint was the changes in SMI and SMD after treatment. Linear regression analysis was used to test associations between muscle change and other covariates. Mediation analysis was used to determine the mediator.

RESULTS

The median (range) age was 53 (23-83) years. The median duration (range) of follow-up was 5.2 (1.1-11.3) years. Overall, 187 (60.9%) patients had ascites. The changes in muscle and systemic inflammatory markers after treatment were significantly different between patients with and without ascites (SMI: -3.9% vs. 2.2%, P < 0.001; SMD: -4.0% vs. -0.4%, P < 0.001; albumin: -4.4% vs. 2.1%, P < 0.001; PNI: -8.4% vs. -0.1%, P < 0.001; NLR: 20.6% vs. -29.4%, P < 0.001; and PLR: 1.7% vs. -19.4%, P < 0.001). The changes in SMI and SMD were correlated with the changes in albumin, PNI, NLR, and PLR (all P < 0.001). In multiple linear regression, ascites and NLR changes were negatively while albumin change was positively correlated with SMI change (ascites: β = -3.19, P < 0.001; NLR change: β = -0.02, P = 0.003; albumin change: β = 0.37, P < 0.001). Ascites and NLR changes were negatively while PNI change was positively correlated with SMD change (ascites: β = -1.28, P = 0.02; NLR change: β = -0.02, P < 0.001; PNI change: β = 0.11, P = 0.04). In mediation analysis, ascites had a direct effect on SMI change (P < 0.001) and an indirect effect mediated by NLR change (indirect effects = -1.61, 95% confidence interval [CI]: -2.22 to -1.08) and albumin change (indirect effects = -2.92, 95% CI: -4.01 to -1.94). Ascites had a direct effect on SMD change (P < 0.001) and an indirect effect mediated by NLR change (indirect effects = -1.76, 95% CI: -2.34 to -1.22) and PNI change (indirect effects = -2.00, 95% CI: -2.79 to -1.36).

CONCLUSIONS

Malignant ascites was associated with enhanced systemic inflammation and muscle loss after primary debulking surgery and adjuvant chemotherapy in advanced-stage ovarian cancer. The association between ascites and muscle loss may be mediated by systemic inflammation.

Efficacy of exercise interventions for women during and after gynaecological cancer treatment - a systematic scoping review

PURPOSE

To systematically synthesise evidence of exercise intervention efficacy for physical/psychosocial outcomes that matter to women during/following treatment for gynaecological cancer.

METHODS

Five databases were searched (PubMed, EMBASE, CINAHL, PsychInfo, Scopus). Exercise-only intervention studies that included women during/ following treatment for any gynaecological cancer, with/ without control comparison, on any physical or psychosocial outcome(s), were included and qualitatively appraised using the Revised Cochrane Risk of Bias tool and a modified Newcastle-Ottawa Scale.

RESULTS

Seven randomised controlled trials (RCTs), three single-arm pre-post studies, and one prospective cohort study satisfied were included (11 studies). Most studies were completed following treatment (91%), included combined (aerobic and resistance; 36%) and aerobic (36%) training, were fully/mostly (63%) unsupervised, and had a moderate-to-high risk of bias. Overall, 33 outcomes (64% objectively-measured) were assessed. Improvements were observed in aerobic capacity (V̇O₂ Peak +1.6 mL/kg/min, 6-minute walk distance +20-27 m), lower- (30-second sit-to-stand +2-4 repetitions) and upper-limb strength (30-second arm curl +5 repetitions; 1RM grip strength/chest press +2.4-3.1 kg), and agility (timed up-and-go -0.6 seconds). However, changes in quality of life, anthropometry/body composition, balance and flexibility were inconsistent. There was no evidence to support worsening of outcomes.

CONCLUSION

Preliminary research into the role of exercise post-gynaecological cancer suggests an improvement in exercise capacity, muscular strength, and agility which, in the absence of exercise, typically decline following gynaecological cancer. Future exercise trials involving larger and more diverse gynaecological cancer samples will improve understanding of the potential and magnitude of effect of guideline-recommended exercise on outcomes that matter to patients.

Change Impact of Body Composition During Neoadjuvant Chemoradiotherapy in Patients with Resectable and Borderline Resectable Pancreatic Ductal Adenocarcinoma Undergoing Pancreatectomy

BACKGROUND

The change impact of body composition during neoadjuvant therapy on clinical outcomes in patients with pancreatic ductal adenocarcinoma (PDAC) remains unclear. The aim of this study was to investigate the association between changes in body composition during neoadjuvant chemoradiotherapy (NACRT) and postoperative outcomes in patients with PDAC undergoing pancreatectomy, using three-dimensional images.

METHODS

We reviewed 66 consecutive patients with resectable/borderline resectable PDAC receiving gemcitabine and S-1 with radiotherapy between April 2010 and June 2016. Body compositions were evaluated pre- and post-NACRT. All patients were hospitalized and supplied with regulated diet during NACRT treatment.

RESULTS

Psoas major muscle volume index (PMI), abdominal fat volume index, and visceral fat volume index decreased significantly after NACRT (P < 0.0001, P < 0.0001, P < 0.0001, respectively). The post-NACRT CA19-9 level decreased significantly in the small-PMI-decrease group compared with the large-PMI-decrease group (P = 0.046). Recurrence-free survival (RFS) and overall survival (OS) of the large-PMI-decrease group were significantly poorer than those of the small-PMI-decrease group (P = 0.002, P = 0.006, respectively). On the other hand, there were no significant differences in RFS and OS between groups with high and low PMI, at the point of either pre-NACRT (P = 0.117, P = 0.123, respectively) or post-NACRT (P = 0.065, P = 0.064, respectively). Multivariate analysis identified a large percentage decrease in PMI as an independent risk factor for recurrence and death (P = 0.003, P = 0.002, respectively).

CONCLUSIONS

Loss of skeletal muscle mass during NACRT was an independent risk factor for survival in patients with PDAC.

Low L3 skeletal muscle index associated with the clinicopathological characteristics and prognosis of ovarian cancer: a meta-analysis

Sarcopenia is a syndrome characterized by progressive loss of skeletal muscle mass, strength and function, which is one of the most important clinical features of cancer malnutrition, representing a poor prognostic indicator in oncology. Sarcopenia is commonly assessed by measuring the skeletal muscle index (SMI) of the third lumbar spine (L3) using computed tomography (CT). The primary aim of this meta-analysis was to study the association between low SMI and comprehensive clinicopathological characteristics as well as prognosis in patients with ovarian cancer. Data were searched in PubMed, EMBASE and Cochrane databases from inception to 10 June 2022. Studies evaluating the prognostic effect of SMI on ovarian cancer survival or chemotherapy-related side effects were included. The risk of bias and study quality were assessed via the Newcastle-Ottawa Scale (NOS). The search strategy yielded 1286 hits in all three databases combined. Thirteen studies were included for qualitative and quantitative analysis, comprising 1814 patients. Our meta-analysis revealed the significant association between low SMI and progression-free survival (PFS) [P = 0.02; hazard ratio (HR): 1.40, 95% confidence interval (CI): 1.06-1.85], as well as 5-year overall survival (OS) [P = 0.02; odds ratio (OR): 1.35, 95% CI: 1.05-1.74]. Low SMI was also obviously associated with body mass index (BMI) < 25 (P < 0.00001; OR: 5.08, 95% CI: 3.54-7.30), FIGO stage (P = 0.02; OR: 1.62, 95% CI: 1.06-2.45) and R0 cytoreduction (P = 0.04;OR: 1.34, 95% CI: 1.01-1.79). There was no correlation between low SMI and histological types, pathological grades and chemotherapy-related toxicity. The quality of the evidence was relatively high according to NOS. Our meta-analysis indicated that sarcopenia assessed by SMI was associated with poor clinical characteristics and adverse prognosis in patients with ovarian cancer. Consensus should be reached on standardized cut-off values for defining sarcopenia in patients with ovarian cancer.

Skeletal muscle area predicts the outcomes of non-small-cell lung cancer after trimodality therapy

OBJECTIVES

Sarcopenia correlates with poor prognosis in various malignancies. However, the prognostic significance of sarcopenia remains to be determined in patients with non-small-cell lung cancer who undergo surgery after receiving neoadjuvant chemoradiotherapy (NACRT).

METHODS

We retrospectively reviewed the patients with stage II/III non-small-cell lung cancer who underwent surgery following NACRT. The paravertebral skeletal muscle area (SMA) (cm2) at the 12th thoracic vertebra level was measured. We calculated the SMA index (SMAI) as SMA/squared height (cm2/m2). Patients were divided into low and high SMAI groups, and the association of SMAI with clinicopathological factors and prognosis was assessed.

RESULTS

The patients' [men, 86 (81.1%)] median age was 63 (21-76) years. There were 106 patients including 2 (1.9%), 10 (9.4%), 74 (69.8%), 19 (17.9%) and 1 (0.9%) patients with stage IIA, IIB, IIIA, IIIB and IIIC, respectively. Of the patients, 39 (36.8%) and 67 (63.2%) were classified in the low and the high SMAI groups, respectively. Kaplan-Meier analysis showed that the low group had a significantly shorter overall survival and disease-free survival than the high group. Multivariable analysis identified low SMAI as an independent poor prognostic factor for overall survival.

CONCLUSIONS

Pre-NACRT SMAI correlates with poor prognosis; therefore, assessing sarcopenia based on pre-NACRT SMAI may help determine optimal treatment strategies and suitable nutritional and exercise interventions.

High visceral fat-to-muscle ratio is an independent factor that predicts worse overall survival in patients with primary epithelial ovarian, fallopian tube, and peritoneal cancer

BACKGROUND

The intra-abdominal cavity, surrounded by adipocytes, is the main metastatic site of epithelial ovarian, fallopian tube, and peritoneal cancer. Epidemiological and molecular studies have demonstrated a link between adipose tissue and ovarian cancer. However, the clinical significance of fatty tissue has not been elucidated. Thus, we investigated the clinical significance of body composition in patients with epithelial ovarian, fallopian tube, and peritoneal cancer.

METHODS

Fat and skeletal muscle areas were measured using software based on pretreatment computed tomography scans at the third lumbar vertebra. Fat-to-muscle ratios were calculated using the total (visceral and subcutaneous) fat area or visceral fat area. High fat-to-muscle ratios were defined by values greater than the mean. Sarcopenia was defined as a skeletal muscle index < 38.7 cm²/m². The clinicopathological parameters and survival of 153 patients were analyzed.

RESULTS

High visceral fat-to-muscle ratios and sarcopenia at the time of diagnosis were observed in 43.8% and 33.3% of the patients, respectively. Multivariate analysis showed that high visceral fat-to-muscle ratio (p = 0.014), advanced Federation of Gynecology and Obstetrics stage (p = 0.008), and chemoresistance (p = 0.027) were independent factors for worse overall survival. Patients with high visceral fat-to-muscle ratios were older, had higher body mass indexes, and were more likely to have diabetes/hypertension, serous cancer subtypes, and implementation of neoadjuvant chemotherapy than those with low visceral fat-to-muscle ratios. The platelet count was significantly higher in the high visceral fat-to-muscle ratio group than in the low visceral fat-to-muscle ratio group (p = 0.011).

CONCLUSIONS

Pretreatment visceral fat area could be an independent predictive factor of overall survival in patients with epithelial ovarian, fallopian tube, and peritoneal cancer and may be significantly associated with thrombocytosis.

Body composition parameters for predicting the efficacy of neoadjuvant chemotherapy with immunotherapy for gastric cancer

Background

Immune checkpoint inhibitors are increasingly used in neoadjuvant therapy for locally advanced gastric cancer. However, the effect of body composition on the efficacy of neoadjuvant therapy has not been reported.

Methods

The computed tomography (CT) images and clinicopathological data of 101 patients with locally advanced gastric cancer who received neoadjuvant chemotherapy combined with immunotherapy (NCI) from 2019 to 2021 were collected. The CT image of L3 vertebral body section was selected, and the body composition before and after the neoadjuvant treatment was calculated using the SliceOmatic software, mainly including skeletal muscle index (SMI), subcutaneous adipose index (SAI), and visceral adipose index (VAI). The relationship between body composition and the efficacy and adverse events of NCI was analyzed.

Results

Of the 101 patients, 81 with evaluable data were included in the analysis. Of the included patients, 77.8% were male; the median age of all the patients was 62 years, and the median neoadjuvant therapy cycle was three. After the neoadjuvant therapy, 62.9% of the tumors were in remission (residual tumor cells ≤ 50%), and 37.1% of the tumors had no remission (residual tumor cells>50%). Moreover, 61.7% of the patients had treatment-related adverse events (TRAEs), and 18.5% had immune-related adverse events (irAEs). After neoadjuvant therapy, the body mass index (from 23 to 22.6 cm²/m², p=0.042), SAI (from 34.7 to 32.9 cm²/m², p=0.01) and VAI (from 32.4 to 26.8 cm²/m², p=0.005) were significantly lower than those before treatment, while the SMI had no significant change (44.7 vs 42.5 cm²/m², p=0.278). The multivariate logistics regression analysis revealed that low SMI (odds ratio [OR]: 3.23,95% confidence interval [CI]: 1.06-9.81, p=0.047), SMI attenuation (△SMI) ≥ 1.8(OR: 1.45,95%CI: 1.20-3.48, p=0.048), and clinical node positivity (OR: 6.99,95%CI: 2.35-20.82, p=0.001) were independent risk factors for non-remission. Additionally, high SAI is an independent risk factor for irAEs (OR: 14, 95%CI: 1.73-112.7, p=0.013).

Conclusion

Low SMI and △SMI≥1.8 are independent risk factors for poor tumor regression in patients with advanced gastric cancer receiving NCI. Patients with a high SAI are more likely to develop irAEs.

Pretreatment Nutritional Status in Combination with Inflammation Affects Chemotherapy Interruption in Women with Ovarian, Fallopian Tube, and Peritoneal Cancer

BACKGROUND

Discontinuing chemotherapy worsens cancer prognosis. This study aimed to investigate the relationship between nutritional status at the start of chemotherapy and chemotherapy discontinuation in patients with ovarian, fallopian tube, and primary peritoneal cancer.

METHODS

This was a retrospective cohort study. One hundred and forty-six patients to whom weekly paclitaxel and carboplatin were administered as postoperative chemotherapy were included. Six courses in 21-day cycles were defined as complete treatment. As nutritional indicators, body mass index, weight change rate, serum albumin, total lymphocyte count, prognostic nutritional index, and C-reactive protein-to-albumin ratio (CAR) were compared between complete and incomplete treatment groups. Patients were divided into two groups according to CAR. The number of chemotherapy cycles was compared between these two groups. A Cox proportional hazard model was used for covariate adjustment.

RESULTS

Several indicators differed between complete and incomplete treatment groups, and among the indicators, CAR had the highest discriminatory ability. The number of chemotherapy cycles was shorter in the high CAR group than in the low CAR group. A high CAR was associated with chemotherapy interruption even after adjusting for covariates.

CONCLUSION

Based on CAR, nutritional status before chemotherapy is suggested to be associated with the risk of chemotherapy discontinuation.

Exosomal Plasma Gelsolin Is an Immunosuppressive Mediator in the Ovarian Tumor Microenvironment and a Determinant of Chemoresistance

Ovarian Cancer (OVCA) is the most fatal gynecologic cancer and has a 5-year survival rate less than 45%. This is mainly due to late diagnosis and drug resistance. Overexpression of plasma gelsolin (pGSN) is key contributing factor to OVCA chemoresistance and immunosuppression. Gelsolin (GSN) is a multifunctional protein that regulates the activity of actin filaments by cleavage, capping, and nucleation. Generally, it plays an important role in cytoskeletal remodeling. GSN has three isoforms: cytosolic GSN, plasma GSN (pGSN), and gelsolin-3. Exosomes containing pGSN are released and contribute to the progression of OVCA. This review describes how pGSN overexpression inhibits chemotherapy-induced apoptosis and triggers positive feedback loops of pGSN expression. It also describes the mechanisms by which exosomal pGSN promotes apoptosis and dysfunction in tumor-killing immune cells. A discussion on the potential of pGSN as a prognostic, diagnostic, and therapeutic marker is also presented herein.

Acute skeletal muscle loss in SARS-CoV-2 infection contributes to poor clinical outcomes in COVID-19 patients

BACKGROUND

Chronic disease causes skeletal muscle loss that contributes to morbidity and mortality. There are limited data on the impact of dynamic muscle loss on clinical outcomes in COVID-19. We hypothesized that acute COVID-19-related muscle loss (acute sarcopenia) is associated with adverse outcomes.

METHODS

A retrospective analysis of a prospective clinical registry of COVID-19 patients was performed in consecutive hospitalized patients with acute COVID-19 (n = 95) and compared with non-COVID-19 controls (n = 19) with two temporally unique CT scans. Pectoralis muscle (PM), erector spinae muscle (ESM) and 30 day standardized per cent change in cross sectional muscle area were quantified. Primary outcomes included mortality and need for intensive care unit (ICU) admission. Multivariate linear and logistic regression were performed. Cox proportional hazard ratios were generated for ICU admission or mortality for the per cent muscle loss standardized to 30 days.

RESULTS

The COVID-19 CT scan cohort (n = 95) had an average age of 63.3 ± 14.3 years, comorbidities including COPD (28.4%) and diabetes mellitus (42.1%), and was predominantly Caucasian (64.9%). The proportion of those admitted to the ICU was 54.7%, with 10.5% requiring tracheostomy and overall mortality 16.8%. Median duration between CT scans was 32 days (IQR: 16-63 days). Significant reductions in median per cent loss was noted for PM (-2.64% loss [IQR: -0.28, -5.47] in COVID-19 vs. -0.06 loss [IQR: -0.01, -0.28] in non-COVID-19 CT controls, P < 0.001) and ESM (-1.86% loss [IQR: -0.28, -5.47] in COVID-19 vs. -0.06 loss [IQR: -0.02, -0.11]) in non-COVID-19 CT controls, P < 0.001). Multivariate linear regression analysis of per cent loss in PM was significantly associated with mortality (-10.8% loss [95% CI: -21.5 to -0.19]) and ICU admission (-11.1% loss [95% CI: -19.4 to -2.67]), and not significant for ESM. Cox proportional hazard ratios demonstrated greater association with ICU admission (adj HR 2.01 [95% CI: 1.14-3.55]) and mortality (adj HR 5.30 [95% CI: 1.19-23.6]) for those with significant per cent loss in PM, and greater association with ICU admission (adj HR 8.22 [95% CI: 1.11-61.04]) but not mortality (adj HR 2.20 [95% CI: 0.70-6.97]) for those with significant per cent loss in ESM.

CONCLUSIONS

In a well-characterized cohort of 95 hospitalized patients with acute COVID-19 and two temporally distinct CT scans, acute sarcopenia, determined by standardized reductions in PM and ESM, was associated with worse clinical outcomes. These data lay the foundation for evaluating dynamic muscle loss as a predictor of clinical outcomes and targeting acute sarcopenia to improve clinical outcomes for COVID-19.

Association between Energy Balance-Related Factors and Clinical Outcomes in Patients with Ovarian Cancer: A Systematic Review and Meta-Analysis

Background: This systematic review and meta-analysis synthesized evidence in patients with ovarian cancer at diagnosis and/or during first-line treatment on; (i) the association of body weight, body composition, diet, exercise, sedentary behavior, or physical fitness with clinical outcomes; and (ii) the effect of exercise and/or dietary interventions. Methods: Risk of bias assessments and best-evidence syntheses were completed. Meta-analyses were performed when ≥3 papers presented point estimates and variability measures of associations or effects. Results: Body mass index (BMI) at diagnosis was not significantly associated with survival. Although the following trends were not supported by the best-evidence syntheses, the meta-analyses revealed that a higher BMI was associated with a higher risk of post-surgical complications (n = 5, HR: 1.63, 95% CI: 1.06−2.51, p = 0.030), a higher muscle mass was associated with a better progression-free survival (n = 3, HR: 1.41, 95% CI: 1.04−1.91, p = 0.030) and a higher muscle density was associated with a better overall survival (n = 3, HR: 2.12, 95% CI: 1.62−2.79, p < 0.001). Muscle measures were not significantly associated with surgical or chemotherapy-related outcomes. Conclusions: The prognostic value of baseline BMI for clinical outcomes is limited, but muscle mass and density may have more prognostic potential. High-quality studies with comprehensive reporting of results are required to improve our understanding of the prognostic value of body composition measures for clinical outcomes. Systematic review registration number: PROSPERO identifier CRD42020163058.

Effect of Muscle Loss but Not Fat Loss during Primary Debulking Surgery and Chemotherapy on Prognosis of Patients with Ovarian Cancer

Although the negative effect of muscle loss during invasive treatment has been widely reported in patients with cancer, its value in patients with ovarian cancer is not clear. Therefore, this study was conducted to clarify whether muscle loss during cytoreductive surgery and chemotherapy affects prognosis in patients with ovarian cancer. We retrospectively recruited 58 patients with ovarian cancer who underwent site reductive surgery and chemotherapy at Shimane University Hospital from March 2006 to November 2013 and for whom pre- and postoperative computed tomography were available. Skeletal muscle changes and fat mass volume during primary debulking surgery and chemotherapy were subsequently investigated at the level of the third lumbar vertebra. Muscle and fat mass loss occurred independently in half of the patients. Muscle loss, but not fat loss, was associated with disease-free survival (p = 0.041 and p = 0.794, respectively) and poor overall survival (p = 0.033 and p = 0.61, respectively). Cancer therapy is invasive and causes compositional changes in the body, such as muscle and fat loss. During cancer therapy, muscle loss, but not fat loss, may be associated with worse prognosis in ovarian cancer.

The prevalence of sarcopenia amongst non-small cell lung cancer patients, assessed using computed tomography, prior to treatment in a South African setting

Background: Identification of sarcopenia in lung cancer is important to improve quality of life and treatment planning; however, clinical detection is challenging. Computed tomography (CT) may improve detection and assist with dose adjustment and prognostication.Aim: To use CT to assess the prevalence of sarcopenia amongst non-small cell lung cancer (NSCLC) patients prior to treatment.Setting: Non-small cell lung cancer patients (n = 66) attending Charlotte Maxeke Johannesburg Academic Hospital (CMJAH) medical oncology clinic between 01 July 2017 and 01 July 2020 with staging CTs or CT chests including L3 level done at CMJAH prior to treatment.Methods: The L3 skeletal muscle index (SMI L3) was assessed based on the cross-sectional muscle area at L3 vertebral level on CT. The prevalence of sarcopenia was determined based on gender-specific cut-offs defined by the International Consensus on Cancer Cachexia.Results: The overall prevalence of sarcopenia was 69.7% (n = 46). There was a statistically significant difference in sarcopenia prevalence according to gender (males 82.2% [n = 37] compared to females 42.9% [n = 9] [p = 0.00]) and body mass index (BMI) ( 18.5 kg/m2 [91.7%, n = 11], 18.5 kg/m2 – 24.9 kg/m2 [81.3%, n = 26], 25 kg/m2 – 29.9 kg/m2 [64.3%, n = 9], ≥ 30 kg/m2 [0.0%, n =0] [p = 0.00]), only noted between the ≥ 30 kg/m2 BMI group and remainder of BMI groups on pairwise comparison. The median SMI L3 in men was 43.1 cm2/m2 (interquartile range [IQR]: 13.6 cm2/m2) whilst the median SMI L3 in women was 40.3 cm2/m2 (IQR: 11.5 cm2/m2). No statistically significant difference in sarcopenia prevalence was demonstrated according to age group, ethnicity, stage and histology.Conclusion: There was a high overall prevalence of sarcopenia, as determined by CT, amongst NSCLC patients in a South African setting. The differences based on gender and BMI indicate potential avenues for future research. 

Ingestão Alimentar de Mulheres com Tumores Ginecológicos em Tratamento Oncológico: Revisão Integrativa da Literatura

Introdução: Pacientes com câncer apresentam uma tendência a perda ponderal e a desnutrição energético-proteica. Isso ocorre em razão das modificações que o organismo sofre pelo desenvolvimento da doença e pelos efeitos adversos do tratamento oncológico que contribuem para a redução da ingestão alimentar. Objetivo: Identificar evidencias disponíveis na literatura cientifica sobre a ingestão alimentar de mulheres com tumores ginecológicos em tratamento oncológico. Método: Revisão integrativa da literatura cujas buscas foram realizadas nas bases de dados Embase, MEDLINE e LILACS por meio da associação de termos descritores e palavras livres. Foram incluídos nas análises estudos observacionais que avaliaram a ingestão alimentar de mulheres adultas com tumores ginecológicos durante o tratamento oncológico, redigidos em português, inglês e espanhol. Resultados: Esta revisão analisou seis estudos que investigaram a mudança na ingestão alimentar dessa população. Identificou-se uma redução da ingestão em até 31% de energia, 39,9% de proteínas, 33,7% de lipídeos, 28,7% de carboidratos e uma inadequação da ingestão de determinados micronutrientes. Conclusão: Mulheres com tumores ginecológicos durante o tratamento oncológico apresentam redução significativa da ingestão de energia, proteínas, lipídeos, carboidratos e micronutrientes. Considerando que a perda de peso e a desnutrição em pacientes com câncer está associada a desfechos clínicos negativos, a avaliação e a análise da ingestão alimentar desses indivíduos são fundamentais para possibilitar uma intervenção nutricional precoce, boa resposta ao tratamento e consequente melhoria da qualidade de vida.

Weight loss during neoadjuvant therapy for pancreatic cancer does not predict poor outcomes

BACKGROUND

Weight changes during neoadjuvant chemotherapy (NAC) for pancreatic cancer (PDAC) are not well studied. We hypothesized that weight loss may predict poor outcomes.

METHODS

Weight change from NAC initiation to pancreatectomy was grouped: gain (≥5%), stable, and loss (≥5%). Pathologic, postoperative, and survival outcomes were compared.

RESULTS

95 patients were included: 31.6% lost weight, 58.9% maintained weight, and 9.5% gained weight. There were no differences in chemotherapeutic regimens. Median recurrence-free survival (RFS) and overall survival (OS) were similar between patients with stable weight and those who lost weight (RFS: 9.6vs14.0months; OS: 25.8vs26.7months). Among those who gained weight, RFS (29.5months) and OS (38.4months) were greater relative to the other weight categories. On multivariable regression, weight gain was associated with improved RFS compared to loss (HR = 0.16).

CONCLUSION

Most patients maintain or lose weight during NAC, and weight loss does not predict poor outcomes. Weight gain may predict improved RFS.

Experiences, adherence and satisfaction with a combined exercise and dietary intervention for patients with ovarian cancer undergoing chemotherapy: A mixed-methods study

OBJECTIVE

This study examined experiences, adherence and satisfaction with a combined exercise and dietary intervention in patients with ovarian cancer and their healthcare professionals (HCPs) as part of the randomized PADOVA trial.

METHODS

A mixed-methods approach was used in 24 patients with ovarian cancer receiving first-line chemotherapy who were randomly allocated to a combined exercise and dietary intervention or usual care with counseling sessions post-treatment. Qualitative data on intervention experiences, adherence and satisfaction was collected using semi-structured interviews with patients and their HCPs (n = 18 physical therapists; n = 5 dietitians). Quantitative data on adherence and satisfaction was collected to provide context to qualitative data.

RESULTS

Exercise relative dose intensity ranged from 36 to 100% (median 72%) and patients attended 33-133% (median 100%) of the prescribed dietary counseling sessions. Patients appreciated guidance on exercise and nutrition and perceived benefits including improved physical fitness, quality of life, peer support and recovery after surgery and/or chemotherapy cycles. Both patients and HCPs were satisfied with the intervention and perceived that participation exceeded prior expectations. Median patient satisfaction score with the intervention was 8.5 out of 10. Suggestions for improving the intervention included further personalization of the number, content and scheduling of the sessions to preferences of patients and HCPs. Patients in the usual care group reported counseling sessions post-chemotherapy to be too little too late.

CONCLUSIONS

Patients with ovarian cancer adhered well to the intervention. Numerous perceived benefits of the intervention were reported by patients and HCPs. Good adherence and positive experiences support successful implementation in clinical practice.

Randomised controlled trial testing the feasibility of an exercise and nutrition intervention for patients with ovarian cancer during and after first-line chemotherapy (BENITA-study)

OBJECTIVES

Advanced ovarian cancer is a severe disease with major side effects caused by peritoneal carcinomatosis, ascites and gastrointestinal involvement as well as exhaustive treatment like debulking surgery and combination chemotherapy. Two most frequently reported side effects are muscle wasting and malnutrition, leading to frailty, decreased health-related quality of life (HRQoL) and cancer-related fatigue (CRF). As muscle wasting and malnutrition often commence during first-line chemotherapy and develop progressively into a refractory state, an early intervention is warranted. This pilot study aimed to evaluate the safety and acceptance of a combined exercise and nutrition intervention during and after first-line chemotherapy.

DESIGN

The pilot study was conducted as a monocentric 1:1 randomised controlled trial (RCT) with an intervention group (IG) and a control group (CG). Participants were divided by chance into IG or CG. Information on group allocation was conveyed to the study coordinator responsible for making an appointment with the patients for the baseline assessment as well as the physiotherapist and nutritionist responsible for the intervention and outcome assessment in both groups.

PARTICIPANTS

Eligibility criteria included women ≥18 years of age, diagnosed with ovarian cancer, tubal cancer or peritoneal cancer and primary or interval debulking, scheduled but not started adjuvant or neoadjuvant chemotherapy and sufficient German-language skills.

INTERVENTION

The IG received a 12-month exercise and nutrition programme, the CG continued to follow usual care.

PRIMARY AND SECONDARY OUTCOME MEASURES

Primary outcomes were recruitment rate, adherence to intervention, completion rate and adverse events. In addition, in-person assessments (eg, HRQoL, CRF, muscle quality and function and dietary intake and quality) were conducted at baseline (T0, before chemotherapy), week 9 (T1, mid-chemotherapy), week 19 (T2, after completion of chemotherapy) and after 12 months of intervention (T3).

RESULTS

Of 60 eligible patients, 15 patients signed informed consent (recruitment rate=25.0%) and were randomised into IG (n=8) and CG (n=7). Eleven participants completed the study (completion rate, 73.3%), one patient dropped out due to loss of interest, one due to poor health, one was lost to follow-up and one patient died.

CONCLUSION

The BENITA (Bewegungs- und Ernährungsintervention bei Ovarialkrebs) study demonstrated the safety and acceptance of an exercise and nutrition intervention integrated into first-line therapy and follow-up care of ovarian cancer. A large multicentre RCT is planned to investigate the effectiveness of the intervention on HRQoL, CRF and survival and to establish means of implementation into oncology guidelines and clinic routine.

TRIAL REGISTRATION NUMBER

DRKS00013231.

Pre-treatment sarcopenic assessments as a prognostic factor for gynaecology cancer outcomes: systematic review and meta-analysis

INTRODUCTION

Gynaecology cancers, including ovarian (OC), endometrial (EC), and cervical (CC), are prevalent with high mortality. Sarcopenia is found in 38.7% of cancer patients, adversely affecting prognosis. Computed tomography (CT) is performed routinely in oncology, yet CT assessments of sarcopenia are not commonly used to measure prognosis. This systematic review and meta-analysis aimed to evaluate the prognostic potential of pre-treatment sarcopenia assessments on overall survival (OS) and progression free survival (PFS) in gynaecology cancer.

METHODOLOGY

Four electronic databases were systematically searched from 2000 to May 2020 in English: Ovid Medline, EMBASE, Web of Science, and CINAHL plus. Titles and abstracts were screened, eligible full-texts were reviewed, and data from included studies was extracted. Meta-analyses were conducted on homogenous survival data, heterogenous data were narratively reported.

RESULTS

The initial search yielded 767 results; 27 studies were included in the systematic review (n = 4286), all published between 2015 and 2020. Meta-analysis of unadjusted results revealed a negative effect of pre-treatment sarcopenia on OS in OC (HR: 1.40, 1.20-1.64, p < 0.0001) (n = 10), EC (HR: 1.42, 0.97-2.10, p = 0.07) (n = 4) and CC (HR: 1.10, 0.93-1.31, p = 0.28) (n = 5), and a negative effect on PFS in OC (HR: 1.28, 1.11-1.46, p = 0.0005) (n = 8), EC (HR: 1.51, 1.03-2.20, p = 0.03) (n = 2) and CC (HR: 1.14, 0.85-1.53, p = 0.37) (n = 2). Longitudinal analysis indicated negative effects of muscle loss on survival. Overall, there was a high risk of bias.

CONCLUSION

Pre-treatment sarcopenia negatively affected survival in gynaecology cancers. Incorporating such assessments into cancer management may be beneficial. Heterogeneity in sarcopenia assessments makes data interpretation challenging. Further research in prospective studies is required.

Ovarian cancer ascites induces skeletal muscle wasting in vitro and reflects sarcopenia in patients

BACKGROUND

Cachexia-associated skeletal muscle wasting or 'sarcopenia' is highly prevalent in ovarian cancer and contributes to poor outcome. Drivers of cachexia-associated sarcopenia in ovarian cancer remain elusive, underscoring the need for novel and better models to identify tumour factors inducing sarcopenia. We aimed to assess whether factors present in ascites of sarcopenic vs. non-sarcopenic ovarian cancer patients differentially affect protein metabolism in skeletal muscle cells and to determine if these effects are correlated to cachexia-related patient characteristics.

METHODS

Fifteen patients with an ovarian mass and ascites underwent extensive physical screening focusing on cachexia-related parameters. Based on computed tomography-based body composition imaging, six cancer patients were classified as sarcopenic and six were not; three patients with a benign condition served as an additional non-sarcopenic control group. Ascites was collected, and concentrations of cachexia-associated factors were assessed by enzyme-linked immunosorbent assay. Subsequently, ascites was used for in vitro exposure of C2C12 myotubes followed by measurements of protein synthesis and breakdown by radioactive isotope tracing, qPCR-based analysis of atrophy-related gene expression, and NF-κB activity reporter assays.

RESULTS

C2C12 protein synthesis was lower after exposure to ascites from sarcopenic patients (sarcopenia 3.1 ± 0.1 nmol/h/mg protein vs. non-sarcopenia 5.5 ± 0.2 nmol/h/mg protein, P < 0.01), and protein breakdown rates tended to be higher (sarcopenia 31.2 ± 5.2% vs. non-sarcopenia 20.9 ± 1.9%, P = 0.08). Ascites did not affect MuRF1, Atrogin-1, or REDD1 expression of C2C12 myotubes, but NF-κB activity was specifically increased in cells exposed to ascites from sarcopenic patients (sarcopenia 2.2 ± 0.4-fold compared with control vs. non-sarcopenia 1.2 ± 0.2-fold compared with control, P = 0.01). Protein synthesis and breakdown correlated with NF-κB activity (r_s  = -0.60, P = 0.03 and r_s  = 0.67, P = 0.01, respectively). The skeletal muscle index of the ascites donors was also correlated to both in vitro protein synthesis (r_s  = 0.70, P = 0.005) and protein breakdown rates (r_s  = -0.57, P = 0.04).

CONCLUSIONS

Ascites of sarcopenic ovarian cancer patients induces pronounced skeletal muscle protein metabolism changes in C2C12 cells that correlate with clinical muscle measures of the patient and that are characteristic of cachexia. The use of ascites offers a new experimental tool to study the impact of both tumour-derived and systemic factors in various cachexia model systems, enabling identification of novel drivers of tissue wasting in ovarian cancer.

Skeletal muscle wasting during neoadjuvant therapy as a prognosticator in patients with esophageal and esophagogastric junction cancer: A systematic review and meta-analysis

BACKGROUND

Considerable controversies exist regarding the severity of skeletal muscle wasting (SMW) during neoadjuvant therapy (NAT) and its impact on therapeutic outcomes in patients with esophageal or esophagogastric junction cancer (EC/EGJC). This systematic review and meta-analysis aimed to resolve these issues. Particularly, the prognostic value of SMW during NAT was compared to pre-NAT and pre-surgery sarcopenia status.

METHODS

We searched PubMed, Embase, and Cochrane Library databases through October 13th, 2021 to identify cohort studies focusing on SMW during NAT and therapeutic outcomes in EC/EGJC patients. Both neoadjuvant chemotherapy and neoadjuvant chemoradiotherapy were studied. A meta-analysis was conducted to quantify SMW and increased sarcopenia during NAT. Therapeutic outcomes include perioperative morbidities and survival profiles. A separate meta-analysis investigating the impacts of pre-NAT/pre-surgery sarcopenia on therapeutic outcomes was synchronously performed.

RESULTS

Twenty-five studies with 2706 participants were included in this review. The pooled SMW during NAT were -2.47 cm²/m² in skeletal muscle index and -0.23 cm²/m² in psoas muscle index, with wasting proportion reaching 4.44%. The pooled prevalence rate of sarcopenia increased from 53.1% before NAT to 65.8% before surgery. Neoadjuvant chemoradiotherapy, advanced age, and being male were identified as risk factors for severe SMW during NAT. Notably, severe SMW during NAT showed a greater hazard ratio (HR) than pre-NAT and pre-surgery sarcopenia in predicting overall survival (HR 1.92, P < 0.001; HR 1.17, P = 0.036; and HR 1.28, P = 0.011, respectively) and recurrence-free survival (HR 1.51, P = 0.002; HR 1.27, P = 0.008; and HR 1.38, P = 0.006, respectively). However, severe SMW during NAT was not significantly associated with perioperative morbidities.

CONCLUSIONS

SMW during NAT is a novel prognosticator that is different from sarcopenia for poor survival in EC/EGJC patients. Interventions aiming at maintaining skeletal muscle during NAT are anticipated to promote therapeutic outcomes.

Association between sarcopenia and survival in patients with gynecologic cancer: A systematic review and meta-analysis

Background

Despite prior attempts to evaluate the effects of sarcopenia on survival among patients with gynecologic cancer, the results of these studies have not been consistent. The present study evaluated the association between sarcopenia and survival among patients with gynecologic cancer by aggregating multiple studies.

Methods

We performed a literature search using computerized databases and identified additional studies included in the bibliographies of retrieved articles. The quality of each study was evaluated using the Newcastle-Ottawa Scale, and meta-analyses were performed to evaluate overall survival (OS) and progression-free survival (PFS). We constructed a forest plot for each outcome and assessed publication bias using Begg's test. Heterogeneity was assessed using I² statistics.

Results

From the 5,933 initially identified articles, 16 studies describing 2,031 participants with a mean age of 60.34 years were included in the meta-analysis. We found that compared with patients with gynecologic cancer but without sarcopenia, patients with sarcopenia had worse OS, with a pooled hazard ratio (HR) of 2.61 (95% confidence interval [CI]:1.52-4.46), and worse PFS (HR: 1.37, 95% CI: 1.09-1.73). The quality of studies was generally good, and no publication bias was detected among studies for either OS or PFS. Although 4 of 12 studies were of fair quality, we conducted a sensitivity analysis excluding studies or fair quality and obtained similar results.

Conclusions

These meta-analysis results suggest that sarcopenia is associated with worse OS and PFS among patients with gynecologic cancer. The use of different case definitions appeared to be a major source of heterogeneity among the studies. Further studies remain necessary to confirm our findings, especially those examining OS and PFS, because publication bias was identified.

Computed Tomography-Based Body Composition in Patients With Ovarian Cancer: Association With Chemotoxicity and Prognosis

Purpose

To assess the association between computed tomography (CT)-derived quantitative measures of body composition profiling and chemotherapy-related complications, in terms of dose reduction, premature discontinuation of chemotherapy, and cycle delays in patients with ovarian cancer. Secondary purposes were to evaluate associations between sarcopenia and survival, and to evaluate differences in body composition profiling at baseline and after neoadjuvant chemotherapy.

Materials and Methods

The study population was retrospectively selected from a database of patients with newly diagnosed ovarian cancer (any stage) referred to our Institution between Feb 2011 and Mar 2020. Clinical data were recorded, and CT images at the level of the 3^rd lumbar vertebra were stored. By using specific software, skeletal muscle area (SMA), subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle density (SMD) were extracted. Skeletal muscle index (SMI) was then calculated. Statistical analysis was performed by logistic regression models to identify body composition features predictive of dose reduction, premature end of chemotherapy, and cycle delays. Kaplan-Meier analyses were performed to assess overall survival (OS) and progression-free survival (PFS). The log-rank test was used to determine differences in OS and PFS between sarcopenic and non-sarcopenic patients. Wilcoxon test was performed to compare body composition features before and after neoadjuvant chemotherapy (NACT).

Results

Sixty-nine patients were included. A significant association was found between VAT and cycle delays (OR = 1.01, z = 2.01, 95% CI: 1.00–1.02, p < 0.05), between SMA and early discontinuation of chemotherapy (OR = 1.03, z = 2.10, 95% CI: 1.00–1.05, p < 0.05), and between mean SMD and cycle delays (OR = 0.92, z = −2.70, 95%CI: 0.87–0.98, p < 0.01). No significant difference emerged for OS in sarcopenic and non-sarcopenic patients, nor in CT body composition features before and after NACT.

Conclusions

In ovarian cancer patients, CT-derived body composition profiling might predict the risk of chemotoxicity. In particular, VAT and SMD are associated with chemotherapy cycle delays, and SMA with early discontinuation of chemotherapy.

Association of body composition with toxicity to first-line chemotherapy and three-year survival in women with ovarian adenocarcinoma

BACKGROUND

This study aimed to evaluate the association of body composition with toxicity to first-line chemotherapy and three-year survival in women with ovarian adenocarcinoma.

METHODS

We enrolled, in a retrospective cohort, 239 women treated with carboplatin and paclitaxel between 2008 and 2017. Pretreatment computed tomography scans were used to quantify skeletal muscle index (SMI), skeletal muscle radiodensity (SMD), and subcutaneous adipose tissue index (SATI). Chemotherapy doses, related toxicities, potential drug-drug interactions (DDI), and clinical variables were collected from medical records. Outcomes were the number of adverse events ≥ grade 3 toxicity, toxicity-induced modification of treatment (TIMT), and three-year survival.

RESULTS

Average age was 56.3 years and 35.1% had myopenia. Almost 33% had TIMT and 51.3% presented any grade 3 toxicity. Potential severe DDI occurred in 48.1% of the patients and 65.1% died three years after the first treatment. The SMD and SATI below the median were independent predictors for the number of adverse events ≥ grade 3 and TIMT. Also, SMD was the only body composition parameter able to predict reduced three-year survival. The SMI was not associated with any of the outcomes.

CONCLUSION

Fewer amounts of SATI and low SMD were associated with the occurrence of toxicity to chemotherapy, and the low SMD increased the risk of death in the three years after oncologic treatment.

Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review

PURPOSE OF THE REVIEW

We aim to review the methods, current research evidence, and future directions in body composition analysis (BCA) with CT imaging.

RECENT FINDINGS

CT images can be used to evaluate muscle tissue, visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) compartments. Manual and semiautomatic segmentation methods are still the gold standards. The segmentation of skeletal muscle tissue and VAT and SAT compartments is most often performed at the level of the 3rd lumbar vertebra. A decreased amount of CT-determined skeletal muscle mass is a marker of impaired survival in many patient populations, including patients with most types of cancer, some surgical patients, and those admitted to the intensive care unit (ICU). Patients with increased VAT are more susceptible to impaired survival / worse outcomes; however, those patients who are critically ill or admitted to the ICU or who will undergo surgery appear to be exceptions. The independent significance of SAT is less well established. Recently, the roles of the CT-determined decrease of muscle mass and increased VAT area and epicardial adipose tissue (EAT) volume have been shown to predict a more debilitating course of illness in patients suffering from severe acute respiratory syndrome coronavirus 2 (COVID-19) infection.

SUMMARY

The field of CT-based body composition analysis is rapidly evolving and shows great potential for clinical implementation.

Loss of skeletal muscle density during neoadjuvant chemotherapy in older women with advanced stage ovarian cancer is associated with postoperative complications

OBJECTIVE

To assess the association between loss of lumbar skeletal muscle mass and density during neoadjuvant chemotherapy (NACT) and postoperative complications after interval cytoreductive surgery (CRS) in older patients with ovarian cancer.

MATERIALS AND METHODS

This multicenter, retrospective cohort study included patients aged 70 years and older with primary advanced stage ovarian cancer (International Federation of Gynecology and Obstetrics stage III-IV), treated with NACT and interval CRS. Skeletal muscle mass and density were retrospectively assessed using Skeletal Muscle Index (SMI) and Muscle Attenuation (MA) on routinely made Computed Tomography scans before and after NACT. Loss of skeletal muscle mass or density was defined as >2% decrease per 100 days in SMI or MA during NACT.

RESULTS

In total, 111 patients were included. Loss of skeletal muscle density during NACT was associated with developing any postoperative complication ≤30 days after interval CRS both in univariable (Odds Ratio (OR) 3.69; 95% Confidence Interval (CI) 1.57-8.68) and in multivariable analysis adjusted for functional impairment and WHO performance status (OR 3.62; 95%CI 1.27-10.25). Loss of skeletal muscle density was also associated with infectious complications (OR 3.67; 95%CI 1.42-9.52) and unintended discontinuation of adjuvant chemotherapy (OR 5.07; 95%CI 1.41-18.19). Unlike loss of skeletal muscle density, loss of skeletal muscle mass showed no association with postoperative outcomes.

CONCLUSION

In older patients with ovarian cancer, loss of skeletal muscle density during NACT is associated with worse postoperative outcomes. These results could add to perioperative risk assessment, guiding the decision to undergo surgery or the need for perioperative interventions.

Skeletal Muscle Deconditioning in Breast Cancer Patients Undergoing Chemotherapy: Current Knowledge and Insights From Other Cancers

Breast cancer represents the most commonly diagnosed cancer while neoadjuvant and adjuvant chemotherapies are extensively used in order to reduce tumor development and improve disease-free survival. However, chemotherapy also leads to severe off-target side-effects resulting, together with the tumor itself, in major skeletal muscle deconditioning. This review first focuses on recent advances in both macroscopic changes and cellular mechanisms implicated in skeletal muscle deconditioning of breast cancer patients, particularly as a consequence of the chemotherapy treatment. To date, only six clinical studies used muscle biopsies in breast cancer patients and highlighted several important aspects of muscle deconditioning such as a decrease in muscle fibers cross-sectional area, a dysregulation of protein turnover balance and mitochondrial alterations. However, in comparison with the knowledge accumulated through decades of intensive research with many different animal and human models of muscle atrophy, more studies are necessary to obtain a comprehensive understanding of the cellular processes implicated in breast cancer-mediated muscle deconditioning. This understanding is indeed essential to ultimately lead to the implementation of efficient preventive strategies such as exercise, nutrition or pharmacological treatments. We therefore also discuss potential mechanisms implicated in muscle deconditioning by drawing a parallel with other cancer cachexia models of muscle wasting, both at the pre-clinical and clinical levels.

Body Composition Changes in Hepatocellular Carcinoma: Prediction of Survival to Transcatheter Arterial Chemoembolization in Combination With Clinical Prognostic Factors

Treatment-related toxicities and decreased levels of patient performance during cancer therapy might contribute to body composition changes (BCC) and thereby impact outcomes. This study investigated the association between BCC during transcatheter arterial chemoembolization (TACE) and outcome in patients with hepatocellular carcinoma (HCC), and developed a nomogram for predicting survival in combination with clinical prognostic factors (CPF). Pretreatment and posttreatment computed tomography (CT) images of 75 patients with HCC who were treated between 2015 and 2018 were analyzed. The bone mineral density (BMD), cross-sectional area of paraspinal muscles (CSA_muscle), subcutaneous fat area (SFA), and visceral fat area (VFA) were measured from two sets of CT images. Count the changes in body composition during treatment and sort out the CPF of patients. Using cox regression models, CSA_muscle change, SFA change, VFA change, child-push class, and portal vein thrombosis were independent prognostic factors for overall survival (OS) (HR=5.932, 2.384, 3.140, 1.744, 1.794, respectively. P < 0.05). Receiver operating characteristic curves (ROCs) showed the prediction model combination of BCC and CPF exhibited the highest predictive performance (AUC=0.937). Independent prognostic factors were all contained into the prognostic nomogram, the concordance index (C-index) of prognostic nomogram was 0.787 (95% CI, 0.675−0.887). Decision curve analysis (DCA) demonstrated that the prognostic nomogram was clinically useful. Nomogram-based risk classification systems were also constructed to facilitate risk stratification in HCC for optimization of clinical management. In conclusion, we identified CSA_muscle change, SFA change, VFA change, Child-Pugh class, and portal vein thrombosis were independent prognostic factors for HCC. The prognostic nomogram with a combination of BCC and CPF that can be applied in the individualized prediction of survival in patients with HCC after TACE.

The influence process of sarcopenia on female cancer: A systematic review and meta-analysis

BACKGROUND

Sarcopenia is one of the early pathological manifestations of cancer cachexia. This change in quality and function has a general and special impact on the prognosis of many types of tumors. However, there are few studies to evaluate the overall impact of sarcopenia on the prognosis of gynecological tumors in sufficient follow-up period.

METHODS

This study systematically searched PubMed, EMBASE, web of science, and MEDLINE databases for related studies and related references since April 15, 2021. The 1-year, 5-year overall survival (OS), progression-free survival (PFS), hazard ratio (HR), and 95% confidence interval (CI) were analyzed by Stata 14.0.(CRD 42021236036).

RESULTS

A total of 23 observational studies involving 3495 female patients were included in the analysis, with an average prevalence of 46.9% (38.5%-55.3%). Meta-analysis showed that the 1-year OS (RR: 1.60, 95% CI = [1.04, 2.46]) of patients with sarcopenia was significantly lower than that of patients without sarcopenia, and then this effect gradually decreased. The results showed that sarcopenia was an independent predictor of OS (HR: 1.78, 95% CI = [1.38, 2.30]) and PFS (HR: 1.32, 95% CI = [1.02, 1.70]) in gynecological cancer patients. Subgroup analysis showed that sarcopenia was significant in Asian population (HR: 1.93, 95% CI = [1.18, 3.17]) and cervical cancer patients (HR: 5.07, 95% CI = [2.82, 9.56]).

CONCLUSION

The survival and recurrence outcome of patients with sarcopenia independently related to surgery, and its impact is very obvious in the short term. In addition, Asian participants with sarcopenia face a greater risk of death than Western participants.

Ectopic fat in liver and skeletal muscle is associated with shorter overall survival in patients with colorectal liver metastases

BACKGROUND

Myosteatosis has been associated with shorter overall survival in cancer patients. The increase in ectopic fat might not be limited to skeletal muscle only and might also extend to other sites such as the liver, resulting in non-alcoholic fatty liver disease (NAFLD). In this study, we assessed the relationship between myosteatosis and NAFLD and their association with overall survival in patients with colorectal liver metastases undergoing partial hepatectomy.

METHODS

Patients were selected from a prospective cohort of 289 consecutive patients with colorectal liver metastases. All patients with a preoperative computed tomography (CT)-scan and liver biopsy obtained during surgery were included. If available a second pre-operative CT scan was used to calculate changes in body composition over time. Muscle radiation attenuation was defined as the average Hounsfield units on CT of all muscle tissue at the L3 level. Liver biopsies were graded by a liver pathologist using the steatosis, activity, and fibrosis scoring system for NAFLD.

RESULTS

Two-hundred and eighteen patients had an available liver biopsy of which 131 patients had two available pre-operative CT scans with an average time interval of 3.2 months. One-hundred and thirty-five (62%) biopsies were classified as NAFLD. In multivariable Cox-regression analysis, NAFLD [hazard ratio (HR): 1.8, 95%-confidence interval (CI) 1.0-3.0, P = 0.037], increase in myosteatosis (HR 1.8, 95%-CI 1.1-2.9, P = 0.018), and skeletal muscle loss (HR 1.7, 95%-CI 1.0-2.9, P = 0.035) were independently associated with shorter overall survival while high visceral adipose tissue fat content was associated with longer overall survival (HR: 0.7, 95%-CI 0.5-0.9, P = 0.014).

CONCLUSIONS

Ectopic fat content of liver as well as skeletal muscle tissue is independently associated with shorter overall survival in patients with colorectal liver metastases, while increased visceral adipose tissue fat content is associated with longer overall survival.

CT-Determined Sarcopenia in GLIM-Defined Malnutrition and Prediction of 6-Month Mortality in Cancer Inpatients

Our objective was to evaluate the clinical application of third lumbar vertebra (L3)-computer tomography (CT)-determined sarcopenia as a marker of muscle mass in cancer inpatients diagnosed with malnutrition according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to establish its association with 6-month mortality. Methods: This was an observational, prospective study in patients from an inpatient oncology unit. We performed a nutritional assessment according to GLIM criteria, including muscle cross-sectional area at L3 by CT and skeletal muscle index (SMI). Six-month mortality was evaluated. Results: A total of 208 patients were included. The skeletal muscle cross-sectional area at L3 was 136.2 ± 32.5 cm² in men and 98.1 ± 21.2 cm² in women. The SMI was 47.4 ± 12.3 cm²/m² in men and 38.7 ± 8.3 cm²/m² in women. Sarcopenia (low SMI) was detected in 59.6% of the subjects. Using SMI as a marker of low muscle mass in application of GLIM criteria, we found 183 (87.9%) malnourished patients. There were 104 deaths (50%) at 6 months. The deceased patients had a lower skeletal muscle cross-sectional area (112.9 ± 27.9 vs. 126.1 ± 37.8 cm²; p = 0.003) and a lower SMI (41.3 ± 9.5 vs. 45.7 ± 12.9 cm²/m²; p = 0.006). An increased risk of 6-month mortality was found in malnourished patients according to GLIM criteria using SMI (HR 2.47; 95% confidence interval 1.07–5.68; p = 0.033). Conclusions: Low muscle mass, assessed by L3-CT, was observed to affect more than half of cancer inpatients. The deceased patients at 6 months had a lower skeletal muscle cross-sectional area and SMI. Malnutrition according to GLIM criteria using CT-determined sarcopenia was shown to adequately predict 6-month mortality.

Bioelectrical Impedance Analysis and Mid-Upper Arm Muscle Circumference Can Be Used to Detect Low Muscle Mass in Clinical Practice

Identification of low muscle mass becomes increasingly relevant due to its prognostic value in cancer patients. In clinical practice, mid-upper arm muscle circumference (MAMC) and bioelectrical impedance analysis (BIA) are often used to assess muscle mass. For muscle-mass assessment, computed tomography (CT) is considered as reference standard. We investigated concordance between CT, BIA, and MAMC, diagnostic accuracy of MAMC, and BIA to detect low muscle mass and their relation with the clinical outcome malnutrition provided with the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF). This cross-sectional study included adult patients with advanced esophageal and gastrointestinal cancer. BIA, MAMC, and PG-SGA-SF were performed. Routine CT-scans were used to quantify psoas muscle index (PMI) and skeletal muscle area. Good concordance was found between CT_PMI and both BIA_{FFMI (fat free mass index)} (ICC 0.73), and BIA_{ASMI (appendicular skeletal muscle index)} (ICC 0.69) but not with MAMC (ICC 0.37). BIA_FFMI (94%), BIA_ASMI (86%), and MAMC (86%) showed high specificity but low sensitivity. PG-SGA-SF modestly correlated with all muscle-mass measures (ranging from -0.17 to -0.43). Of all patients with low muscle mass, 62% were also classified with a PG-SGA-SF score of ≥4 points. Although CT remains the first choice, since both BIA and MAMC are easy to perform by dieticians, they have the potential to be used to detect low muscle mass in clinical practice.

Psoas muscle index at the fifth lumbar vertebra as a predictor of survival in epithelial ovarian cancers

Almost a quarter of a century has passed since the term sarcopenia was defined. Sarcopenia is recognized as a poor prognostic factor in a variety of cancer types. In ovarian cancer, it remains controversial whether sarcopenia affects prognosis and how it should be evaluated. The present study aimed to evaluate the association between the volume of the psoas major muscle and survival in patients with epithelial ovarian cancer. Medical charts of patients with epithelial ovarian cancer who received first-line chemotherapy with paclitaxel and carboplatin at the National Defense Medical College Hospital (Tokorozawa, Japan) between April 2010 and January 2015 were retrospectively reviewed. The bilateral psoas major muscle areas at the fifth lumbar vertebra were measured using computed tomography images. The Institutional Review Board at National Defense Medical College Hospital (Tokorozawa, Japan) approved the study protocol. A total of 72 patients with epithelial ovarian cancer who received combination therapy with paclitaxel and carboplatin were identified and enrolled. The median psoas muscle index (PMI; psoas muscle major cross-sectional area divided by height squared) was 5.4 cm²/m² (range, 3.3-10.0). Patients with higher PMI had significantly improved overall survival (OS) compared with those with lower PMI [log-rank test P=0.014; hazard ratio (HR), 2.61; 95% confidence interval (CI), 1.21-6.06]. Multivariate analysis for OS revealed that lower PMI was an independent unfavorable prognostic factor (HR, 3.87; 95% CI, 1.37-12.1; P=0.0098). The volume of psoas major muscle mass could be a potential biomarker for prognosis in patients with epithelial ovarian cancer.

Body composition parameters predict pathological response and outcomes in locally advanced gastric cancer after neoadjuvant treatment: A multicenter, international study

BACKGROUND

Body composition profiles influence the prognosis of several types of cancer; however, the role of body composition in patients with locally advanced gastric cancer (LAGC) after neoadjuvant treatment (NT) has not been well characterized.

PATIENTS AND METHODS

A total of 213 patients with LAGC who underwent gastrectomy after NT at a high-volume institution from southern China were comprehensively evaluated for primary analysis. Additionally, 170 and 77 patients from Western China and Italy, respectively, were reviewed for external validation. The skeletal muscle index (SMI), skeletal muscle radiodensity (SMD), and the subcutaneous as well as the visceral adiposity index were assessed from clinically acquired CT scans at diagnosis and preoperatively.

RESULTS

Overall, none of the body composition parameters significantly changed after NT. The pre-NT skeletal muscle radiodensity (SMD) and change in SMI (ΔSMI) were both significantly lower in the patients with poor response (tumor regression <50%; mean SMD: 43.5 vs 46.5, P = 0.003; mean ΔSMI: -1.0 vs 2.2, P < 0.001), and the cutoff values were calculated according to the Youden index as 43.7 and 1.2, respectively. Based on these 2 parameters, a novel model, the Skeletal Muscle Score (SMS), was proposed to predict the pathological response (AUC = 0.764 alone and = 0.822 in combination with the radiological response). Moreover, patients with an SMI loss >1.2 had a significantly prolonged drainage tube removal time (mean: 10.0 vs 8.2, P = 0.003) and postoperative hospital stay (mean: 11.1 vs 9.8, P = 0.048), as well as a significantly higher rate of postoperative complications (30.9% vs 16.7%, P = 0.015). In the multivariate analysis, SMI loss >1.2 independently predicted poor overall survival (HR: 1.677, 95% CI 1.040-2.704, P = 0.034) and recurrence-free survival (HR: 1.924, 95% CI 1.165-3.175, P = 0.011). ΔSMI was also significantly associated with pathological response, surgical outcomes, and survival in the 2 external cohorts (P all < 0.05).

CONCLUSIONS

For LAGC, the pre-NT SMD and ΔSMI could accurately predict the pathological response after NT. An SMI loss >1.2 is closely associated with poorer outcomes and may indicate the need more supportive treatment.

Reduced rDNA transcription diminishes skeletal muscle ribosomal capacity and protein synthesis in cancer cachexia

Muscle wasting in cancer is associated with deficits in protein synthesis, yet, the mechanisms underlying this anabolic impairment remain poorly understood. The capacity for protein synthesis is mainly determined by the abundance of muscle ribosomes, which is in turn regulated by transcription of the ribosomal (r)RNA genes (rDNA). In this study, we investigated whether muscle loss in a preclinical model of ovarian cancer is associated with a reduction in ribosomal capacity and was a consequence of impaired rDNA transcription. Tumor bearing resulted in a significant loss in gastrocnemius muscle weight and protein synthesis capacity, and was consistent with a significant reduction in rDNA transcription and ribosomal capacity. Despite the induction of the ribophagy receptor NUFIP1 mRNA and the loss of NUFIP1 protein, in vitro studies revealed that while inhibition of autophagy rescued NUFIP1, it did not prevent the loss of rRNA. Electrophoretic analysis of rRNA fragmentation from both in vivo and in vitro models showed no evidence of endonucleolytic cleavage, suggesting that rRNA degradation may not play a major role in modulating muscle ribosome abundance. Our results indicate that in this model of ovarian cancer-induced cachexia, the ability of skeletal muscle to synthesize protein is compromised by a reduction in rDNA transcription and consequently a lower ribosomal capacity. Thus, impaired ribosomal production appears to play a key role in the anabolic deficits associated with muscle wasting in cancer cachexia.

The impact of body composition on treatment in ovarian cancer: a current insight

INTRODUCTION

Epithelial ovarian cancer (EOC) remains the most lethal of gynecological cancers. Sarcopenia and low Skeletal Muscle Radiodensity (SMD) are highly prevalent in EOC. Cross sectional imaging via MRI and CT are considered the gold standard for quantification of muscle mass and muscle density. Skeletal Muscle Index (SMI) and SMD-based thresholds for sarcopenia in EOC vary significantly and specific EOC thresholds for sarcopenia have not been defined.

AREAS COVERED

Sarcopenia and low SMD are highly prevalent in EOC affecting between 11-68% and 21-35% of women, respectively. SMD may be a better prognostic biomarker in ovarian cancer than SMI. Reduced SMI and SMD may also influence the risk of postoperative complications but further studies are required. There is increasing evidence that sarcopenia increases during neoadjuvant chemotherapy.

EXPERT COMMENTARY

Prehabilitation studies in surgical oncology indicate encouraging results, such as, maintenance of SMI, reduced length of stay and surgical complication rates, improved health-related quality of life and functional capacity. Early identification of body composition abnormalities would permit targeted intervention prior to, and after surgery. Cross-sectional imaging is routinely used for staging and surveillance of EOC patients and hence assessment of body composition abnormalities is possible and an underutilized resource.

Muscle hypertrophy in cancer patients and survivors via strength training. A meta-analysis and meta-regression

BACKGROUND

Muscle wasting has a negative effect on treatment toxicity and cancer prognosis. Resistance training appears to be a promising approach to counteract the loss of muscle mass.

METHODS

Pubmed, Cochrane Library, SportDiscus and CINAHL. Randomized controlled resistance training trials with cancer survivros where eligible if lean body mass (LBM) or muscle mass were assessed.

RESULTS

A total of 34 trials were included into the primary analysis. Compared to the control individuals, the intervention groups show a superiority in LBM of 0.85 kg (95 % CI = 0.26-1.43, p = .004). Isolated, the participants in the intervention groups show an increase in LBM of 0.51 kg (95 % CI = -0.05-1.06, p = .072); the control groups displayed a decrease of -0.59 kg (95 % CI= -1.04 to 0.06, p = .078). Supervision displayed an mediating role.

CONCLUSIONS

Resistance training can counteract the loss of muscle mass in cancer patients. Especially in a supervised setting.

A novel model with nutrition-related parameters for predicting overall survival of cancer patients

BACKGROUND

Increasing evidence indicates that nutritional status could influence the survival of cancer patients. This study aims to develop and validate a nomogram with nutrition-related parameters for predicting the overall survival of cancer patients.

PATIENTS AND METHODS

A total of 8749 patients from the multicentre cohort study in China were included as the primary cohort to develop the nomogram, and 696 of these patients were recruited as a validation cohort. Patients' nutritional status were assessed using the PG-SGA. LASSO regression models and Cox regression analysis were used for factor selection and nomogram development. The nomogram was then evaluated for its effectiveness in discrimination, calibration, and clinical usefulness by the C-index, calibration curves, and decision curve analysis. Kaplan-Meier survival curves were used to compare the survival rate.

RESULTS

Seven independent prognostic factors were identified and integrated into the nomogram. The C-index was 0.73 (95% CI, 0.72 to 0.74) and 0.77 (95% CI, 0.74 to 0.81) for the primary cohort and validation cohort, which were both higher than 0.59 (95% CI, 0.58 to 0.61) of the TNM staging system. DCA demonstrated that the nomogram was higher than the TNM staging system and the TNM staging system combined with PG-SGA. Significantly median overall survival differences were found by stratifying patients into different risk groups (score < 18.5 and ≥ 18.5) for each TNM category (all Ps < 0.001).

CONCLUSION

Our study screened out seven independent prognostic factors and successfully generated an easy-to-use nomogram, and validated and shown a better predictive validity for the overall survival of cancer patients.