Progressive muscle loss is an independent predictor for survival in locally advanced oral cavity cancer: A longitudinal study

Impact of radiation dose to the swallowing organs on death from aspiration pneumonia in oral cavity cancer

OBJECTIVES

Aspiration pneumonia is a major cause of non-cancer mortality following radiotherapy for head and neck cancer. This study aims to investigate its incidence and risk factors in patients receiving adjuvant radiotherapy for oral cavity cancer (OCC).

MATERIALS AND METHODS

This study enrolled 1043 patients with OCC who underwent surgery and adjuvant intensity-modulated radiotherapy between 2010 and 2020 at two tertiary centers. Mean radiation dose delivered to the superior, middle, and inferior pharyngeal constrictor muscles (PCMs), cricopharyngeus muscle, and larynx were compared between patients who died from aspiration pneumonia and those who were alive or died from other causes.

RESULTS

Median follow-up was 5.4 (IQR: 2.9-8.7) years. Among patients with non-cancer mortality (n = 90), aspiration pneumonia was the cause in 56 (62.2 %) patient. The mean dose delivered to the swallowing structures was higher in patients who died of aspiration pneumonia (p < 0.05). Multivariable analysis revealed that a higher mean dose to the superior PCM and supraglottic larynx was independently associated with an increased risk of death from aspiration pneumonia (superior PCM: hazard ratio: 1.08, 95 % confidence interval: 1.02-1.13; p = 0.008; supraglottic larynx: hazard ratio: 1.10, 95 % confidence interval: 1.05-1.16; p < 0.001). On multivariable analysis with dose level stratification, a mean dose > 55 Gy to the superior PCM and 50-55 Gy or > 55 Gy to the supraglottic larynx were independently associated with an increased risk of death from aspiration pneumonia (all p < 0.05).

CONCLUSION

Higher radiation doses to the superior PCM and supraglottic larynx were associated with increased mortality from aspiration pneumonia.

Identifying threshold of CT-defined muscle loss after radiotherapy for survival in oral cavity cancer using machine learning

OBJECTIVES

Muscle loss after radiotherapy is associated with poorer survival in patients with oral cavity squamous cell carcinoma (OCSCC). However, the threshold of muscle loss remains unclear. This study aimed to utilize explainable artificial intelligence to identify the threshold of muscle loss associated with survival in OCSCC.

MATERIALS AND METHODS

We enrolled 1087 patients with OCSCC treated with surgery and adjuvant radiotherapy at two tertiary centers (660 in the derivation cohort and 427 in the external validation cohort). Skeletal muscle index (SMI) was measured using pre- and post-radiotherapy computed tomography (CT) at the C3 vertebral level. Random forest (RF), eXtreme Gradient Boosting (XGBoost), and Categorical Boosting (CatBoost) models were developed to predict all-cause mortality, and their performances were evaluated using the area under the curve (AUC). Muscle loss threshold was identified using the SHapley Additive exPlanations (SHAP) method and validated using Cox regression analysis.

RESULTS

In the external validation cohort, the RF, XGBoost, and CatBoost models achieved favorable performance in predicting all-cause mortality (AUC: 0.898, 0.859, and 0.842). The SHAP method demonstrated that SMI change after radiotherapy was the most important feature for predicting all-cause mortality and consistently identified SMI loss ≥ 4.2% as the threshold in all three models. In multivariable analysis, SMI loss ≥ 4.2% was independently associated with increased all-cause mortality risk in both cohorts (derivation cohort: hazard ratio: 6.66, p < 0.001; external validation cohort: hazard ratio: 8.46, p < 0.001).

CONCLUSION

This study can assist clinicians in identifying patients with considerable muscle loss after treatment and guide interventions to improve muscle mass.

KEY POINTS

Question Muscle loss after radiotherapy is associated with poorer survival in patients with oral cavity cancer; however, the threshold of muscle loss remains unclear. Findings Explainable artificial intelligence identified muscle loss ≥ 4.2% as the threshold of increased all-cause mortality risk in both derivation and external validation cohorts. Clinical Relevance Muscle loss ≥ 4.2% may be the optimal threshold for survival in patients who receive adjuvant radiotherapy for oral cavity cancer. This threshold can guide clinicians in improving muscle mass after radiotherapy.

Head and Neck Cancer and Sarcopenia: An Integrative Clinical and Functional Review

Sarcopenia is recognized as a crucial factor impacting the prognosis, treatment responses, and quality of life of HNC patients. This review discusses various mechanisms, including common etiological factors, such as aging, chronic inflammation, and metabolic dysregulation. Cancer-related factors, including tumor locations and treatment modalities, contribute to the development of sarcopenia. The clinical implications of sarcopenia in HNC patients extend beyond reduced muscle strength; it affects overall mobility, reduces quality of life, and increases the risk of falls and fractures. Sarcopenia serves as an independent predictor of postoperative complications, chemotherapy dose-limiting toxicity, and treatment outcomes, which affect therapy planning and perioperative management decisions. Methods to assess sarcopenia in HNC patients encompass various techniques. A sarcopenia assessment offers a potentially efficient and readily available tool for clinical practice. Interventions and management strategies for sarcopenia involve exercise interventions as a cornerstone; however, challenges arise due to patient-specific limitations during cancer treatment. A routine body composition analysis is proposed as a valuable addition to HNC patient management, with ongoing research required to refine preoperative exercise and nutrition programs for improved treatment outcomes and survival.

The role of prehabilitation in HNSCC patients treated with chemoradiotherapy

BACKGROUND

Radiotherapy (RT) is used in head and neck squamous cell carcinoma (HNSCC) with excellent effectiveness, but it is burdened by important side effects, which may negatively impact patients' quality of life (QoL). In particular when associated with chemotherapy (CT), that has a radiosensitising effect (and its own toxicities), it is responsible for several adverse events, causing social discomfort and lower QoL, in patients who are already experiencing several tumor-related discomforts. Prehabilitation is a healthcare intervention consisting of several specialist visits prior to the start of treatment, with the aim of improving the patient's health status, resolving symptoms that interfere with treatment and impact QoL, and finally to better avoid or overcome complications. Of all cancer patients, HNSCC patients are among those who could benefit most from prehabilitation, both because of the high number of symptoms and toxicities and their difficult management. Despite this and the emerging data, prehabilitation is not often considered for the majority of patients undergoing (C)RT. In this review, we tried to understand what are the main areas in which interventions can be made prior to the (C)RT start, the possible side effects of the treatment, the effectiveness in their prevention and management, and the impact that prehabilitation may have in adherence to therapy and on the principal survival outcomes, providing important guidance for the planning of future studies.

EVIDENCES AND CONCLUSIONS

Although there is no strong data evaluating multidisciplinary prehabilitation strategies, evidence shows that optimizing the patient's health status and preventing possible complications improve the QoL, reduce the incidence and severity of adverse events, and improve treatment adherence. While cardiology prehabilitation is of paramount importance for all patients undergoing concomitant CRT in the prevention of possible side effects, the remaining interventions are useful independently of the type of treatment proposed. Geriatricians have a key role in both elderly patients and younger patients characterized by many comorbidities to comprehensively assess health status and indicate which treatment may be the best in terms of risk/benefit ratio. Collaboration between nutritionists and phoniatrics, on the other hand, ensures adequate nutritional intake for the patient, where possible orally. This is because optimizing both body weight and muscle mass and qualities has been shown to impact key survival outcomes. Finally, HNSCC patients have the second highest suicide rate, and the disease has side effects such as pain, dysfiguration, and sialorrhea that can reduce the patient's social life and create shame and embarrassment: A psychological intake, in addition to the usefulness to the patient, can also provide current support to caregivers and family members. Therefore clinicians must define a personalized pathway for patients, considering the characteristics of the disease and the type of treatment proposed, to optimize health status and prevent possible side effects while also improving QoL and treatment adherence.

The Impact of Imaging-Diagnosed Sarcopenia on Long-term Prognosis After Curative Resection for Hepatocellular Carcinoma: A Systematic Review and Meta-analysis

BACKGROUND

Recent research suggests that sarcopenia potentially influences the long-term postoperative prognosis of malignant tumors. Thus, the primary objective of this study was to investigate the impact of imaging-diagnosed sarcopenia on the long-term prognosis of hepatocellular carcinoma (HCC) patients after curative resection.

METHODS

In our approach, all studies incorporated in this study employed Cox proportional hazards models with multivariable adjusted hazard ratios. The meta-analysis was performed using R statistical software. The primary outcomes were quantified using hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS

This study analyzed 30 studies, involving 7352 HCC patients after curative resection (2695 in the sarcopenia group and 4657 in the non-sarcopenia group). The meta-analysis of 28 studies indicated that patients in the sarcopenia group demonstrated notably inferior overall survival (OS) compared with the non-sarcopenia group (HR=2.20; 95% CI, 1.88-2.58; p < 0.01). Similarly, sarcopenia exhibits a significant association with poor recurrence-free survival (RFS) and disease-free survival (DFS) based on 16 and 6 studies (HR=1.50; 95% CI, 1.39-1.63; p < 0.01 and HR=1.96; 95% CI, 1.83-2.10; p < 0.01, respectively).

CONCLUSION

In conclusion, imaging-diagnosed sarcopenia adversely affects the long-term prognosis, including OS, RFS, and DFS, in HCC patients after curative resection. The findings hold considerable importance in guiding comprehensive healthcare procedures for HCC patients after surgery.

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.

Investigating sarcopenia, physical activity, and inflammation biomarkers in newly diagnosed oral cancer patients during curative treatment: A prospective longitudinal study

Objective

This prospective longitudinal study aimed to investigate changes in sarcopenia, physical activity, and inflammation biomarkers in patients with oral cavity cancer during curative treatment and explore their association with treatment outcomes.

Methods

Patients newly diagnosed with oral cavity cancer who underwent primary surgery with (chemo)radiation therapy were included. Along with physical activity and inflammatory markers, sarcopenia was assessed using a 5-time chair stand test, hand grip strength, and skeletal muscle index (SMI). Data were collected before operation and after 3 months (T₂) and 6 months after operation. Logistic regression and Cox proportional hazards models were used to identify predictors of treatment outcomes.

Results

Out of 56 patients, 21 (37.5%) had sarcopenia. SMI score, physical activity, and neutrophil-to-lymphocyte ratio (NLR) showed significant changes after surgery, with exacerbation at T₂. Patients with sarcopenia exhibited a significant decrease in SMI scores at T₂. Advanced cancer stage and sarcopenia were associated with treatment-related dysphagia (odds ratio [OR] ​= ​3.01, P ​= ​0.034; OR ​= ​7.62, P ​= ​0.018). Sarcopenia (OR ​= ​3.02, P ​= ​0.002) and NLR (OR ​= ​5.38, P ​< ​0.001) were significantly associated with infections. Pretreatment SMI independently predicted poor survival outcomes (hazard ratio ​= ​7.00, P ​= ​0.005).

Conclusions

Identifying patients with oral cavity cancer, sarcopenia, and high NLR levels can ensure prompt education and vigilant monitoring, potentially improving treatment outcomes and patient well-being during curative treatment.

Investigating Predictive Factors of Dysphagia and Treatment Prolongation in Patients with Oral Cavity or Oropharyngeal Cancer Receiving Radiation Therapy Concurrently with Chemotherapy

Radiation therapy (RT) treatment for head and neck cancer has been associated with dysphagia manifestation leading to worse outcomes and decrease in life quality. In this study, we investigated factors leading to dysphagia and treatment prolongation in patients with primaries arising from oral cavity or oropharynx that were submitted to radiation therapy concurrently with chemotherapy. The records of patients with oral cavity or oropharyngeal cancer that received RT treatment to the primary and bilateral neck lymph nodes concurrently with chemotherapy were retrospectively reviewed. Logistic regression models were used to analyze the potential correlation between explanatory variables and the primary (dysphagia ≥ 2) and secondary (prolongation of total treatment duration ≥ 7 days) outcomes of interest. The Toxicity Criteria of the Radiation Therapy Oncology Group (RTOG) and the European Organization for Research and Treatment of Cancer (EORTC) were used to evaluate dysphagia. A total of 160 patients were included in the study. Age mean was 63.31 (SD = 8.24). Dysphagia grade ≥ 2 was observed in 76 (47.5%) patients, while 32 (20%) experienced treatment prolongation ≥ 7 days. The logistic regression analysis showed that the volume in the primary site of disease that received dose ≥ 60 Gy (≥118.75 cc, p < 0.001, (OR = 8.43, 95% CI [3.51-20.26]) and mean dose to the pharyngeal constrictor muscles > 40.6 Gy (p < 0.001, OR = 11.58, 95% CI [4.84-27.71]) were significantly associated with dysphagia grade ≥ 2. Treatment prolongation ≥ 7 days was predicted by higher age (p = 0.007, OR = 1.079, 95% CI [1.021-1.140]) and development of grade ≥ 2 dysphagia (p = 0.005, OR = 4.02, 95% CI [1.53-10.53]). In patients with oral cavity or oropharyngeal cancer that receive bilateral neck irradiation concurrently with chemotherapy, constrictors mean dose and the volume in the primary site receiving ≥ 60 Gy should be kept below 40.6 Gy and 118.75 cc, respectively, whenever possible. Elderly patients or those that are considered at high risk for dysphagia manifestation are more likely to experience treatment prolongation ≥ 7 days and they should be closely monitored during treatment course for nutritional support and pain management.

Role of sarcopenia on survival and treatment-related toxicity in head and neck cancer: a narrative review of current evidence and future perspectives

PURPOSE

The purpose of this article is to provide an up-to-date summary of sarcopenia and its clinical implications for patients with head and neck cancer (HNC).

METHODS

We conducted a literature review of recent studies investigating the prevalence of sarcopenia in HNC patients, its detection using MRI or CT scans, and its association with clinical outcomes such as disease-free and overall survival time, radiotherapy-related side effects, cisplatin toxicity, and surgical complications.

RESULTS

Sarcopenia, characterized by low skeletal muscle mass (SMM), is a prevalent condition in HNC patients and can be effectively detected using routine MRI or CT scans. Low SMM in HNC patients is associated with increased risks of shorter disease-free and overall survival times, as well as radiotherapy-related side effects such as mucositis, dysphagia, and xerostomia. In addition, cisplatin toxicity is more severe in HNC patients with low SMM, leading to higher dose-limiting toxicity and treatment interruptions. Low SMM may also predict higher risks of surgical complications in head and neck surgery. Identifying sarcopenic patients can aid physicians in better riskstratifying HNC patients for therapeutic or nutritional interventions to improve clinical outcomes.

CONCLUSIONS

Sarcopenia is a significant concern for HNC patients and can impact their clinical outcomes. Routine MRI or CT scans can effectively detect low SMM in HNC patients. Identifying sarcopenic patients can aid physicians in better risk-stratifying HNC patients for therapeutic or nutritional interventions to improve clinical outcomes. Further research is needed to explore the potential of interventions to mitigate the negative effects of sarcopenia in HNC patients.

Association of prognostic nutritional index with muscle loss and survival in patients with ovarian cancer treated with primary debulking surgery and chemotherapy

PURPOSE

Sarcopenia is prevalent in ovarian cancer and contributes to poor survival. This study is aimed at investigating the association of prognostic nutritional index (PNI) with muscle loss and survival outcomes in patients with ovarian cancer.

METHODS

This retrospective study analyzed 650 patients with ovarian cancer treated with primary debulking surgery and adjuvant platinum-based chemotherapy at a tertiary center from 2010 to 2019. PNI-low was defined as a pretreatment PNI of < 47.2. Skeletal muscle index (SMI) was measured on pre- and posttreatment computed tomography (CT) at L3. The cut-off for the SMI loss associated with all-cause mortality was calculated using maximally selected rank statistics.

RESULTS

The median follow-up was 4.2 years, and 226 deaths (34.8%) were observed. With a median duration of 176 days (interquartile range: 166-187) between CT scans, patients experienced an average decrease in SMI of 1.7% (P < 0.001). The cut-off for SMI loss as a predictor of mortality was - 4.2%. PNI-low was independently associated with SMI loss (odds ratio: 1.97, P = 0.001). On multivariable analysis of all-cause mortality, PNI-low and SMI loss were independently associated with all-cause mortality (hazard ratio: 1.43, P = 0.017; hazard ratio: 2.27, P < 0.001, respectively). Patients with both SMI loss and PNI-low (vs. neither) had triple the risk of all-cause mortality (hazard ratio: 3.10, P < 0.001).

CONCLUSIONS

PNI is a predictor of muscle loss during treatment for ovarian cancer. PNI and muscle loss are additively associated with poor survival. PNI can help clinicians guide multimodal interventions to preserve muscle and optimize survival outcomes.

Comparison of Skeletal Muscle Changes at Three Vertebral Levels Following Radiotherapy in Patients With Oropharyngeal Carcinoma

Evaluation of skeletal muscle (SM) depletion, or sarcopenia, utilizes the cross-sectional area (CSA) of computed tomography (CT) scans at the lumbar level L3. However, alternate vertebral landmarks are used in patients with head and neck cancer due to scan unavailability. Muscle changes following radiotherapy at cervical (C3) and thoracic (T2) levels were compared to L3 in patients with oropharyngeal carcinoma. Muscle density data were derived retrospectively from diagnostic PET-CT scans at C3, T2 and L3 pretreatment, and up to six months post. CSA changes were compared to L3 in scans of 33 patients (88% male, mean age 61 (SD 8.5) years). On matched pair analysis; mean L3-CSA change -12.1 cm² (SD 9.7, 95%CI -15.5 to -8.6, and p < 0.001), T2-CSA -30.5 cm² (SD 34.8, 95%CI -42.8 to -18.1, and p < 0.001) and C3-CSA +2.1 cm² (SD 4.1, 95%CI 0.63 to 3.5, and p < 0.00). No difference was found in the percentage change of T2-CSA with L3-CSA (mean -2.2%, SD 10.6, 95%CI -6.0 to 1.6, and p = 0.240), however, was significantly different to C3-CSA (mean 13.2%, SD 11.6, 95%CI 9.1 to 17.3, and p < 0.001). Results suggest SM at C3 does not change proportionately and may not be a reliable representation of whole-body SM change over time.

Evaluation of sarcopenia and sarcopenic obesity in patients affected by oral squamous cell carcinoma: A retrospective single-center study

This retrospective single-center study aimed to evaluate the relevance of sarcopenia and sarcopenic obesity as negative prognostic factors in patients with oral squamous cell carcinoma (OSCC). The study was performed on patients who underwent oral squamous cell carcinoma resection surgery. Patients' demographic and clinical variables were collected at diagnosis (sex, age, height, weight, comorbidities, smoke and alcohol consumption, HPV positivity, TNM-stage) and corrected for known prognostic factors (age, body mass index, TNM-stage). The Skeletal Muscle Mass (SMM) and the Cross-Sectional Area (CSA) on pre-treatment CT scans and Body Mass Index (BMI) were measured to assess sarcopenia and sarcopenic obesity correlated to overall survival (OS). Chi-square statistics were used to analyze the differences between the frequencies of each categorical variable with the presence or absence of sarcopenia and sarcopenic obesity. The cumulative overall survival was calculated by the Kaplan-Meier method, and the differences between curves were evaluated by the log-rank test. A Cox proportional hazard regression model was used for univariate and multivariate analysis of the overall survival. Within the limitations of the study, in this sample, sarcopenia did not seem to cause a statistically significant reduction in the overall survival in patients with oral squamous cell carcinoma (Log Rank χ2 = 3.67, p = 0.055; HR 0.996, 95% CI 0.732-1.354, p = 0.979), however, sarcopenic obesity showed a meaningful negative prognostic impact on it (Log Rank χ2 = 5.71, p = 0.017; HR 0.985, 95% CI 0.424-2.286, p = 0.972). Within the limitations of the study it seems that sarcopenic obesity, age, BMI, and TNM-stage are more relevant negative prognostic factors, influencing overall survival in surgically treated OSCC, than sarcopenia.

Measurement of Sarcopenia in Head and Neck Cancer Patients and Its Association With Frailty

In head and neck cancer (HNC) there is a need for more personalized treatment based on risk assessment for treatment related adverse events (i.e. toxicities and complications), expected survival and quality of life. Sarcopenia, defined as a condition characterized by loss of skeletal muscle mass and function, can predict adverse outcomes in HNC patients. A review of the literature on the measurement of sarcopenia in head and neck cancer patients and its association with frailty was performed. Skeletal muscle mass (SMM) measurement only is often used to determine if sarcopenia is present or not. SMM is most often assessed by measuring skeletal muscle cross-sectional area on CT or MRI at the level of the third lumbar vertebra. As abdominal scans are not always available in HNC patients, measurement of SMM at the third cervical vertebra has been developed and is frequently used. Frailty is often defined as an age-related cumulative decline across multiple physiologic systems, with impaired homeostatic reserve and a reduced capacity of the organism to withstand stress, leading to increased risk of adverse health outcomes. There is no international standard measure of frailty and there are multiple measures of frailty. Both sarcopenia and frailty can predict adverse outcomes and can be used to identify vulnerable patients, select treatment options, adjust treatments, improve patient counselling, improve preoperative nutritional status and anticipate early on complications, length of hospital stay and discharge. Depending on the definitions used for sarcopenia and frailty, there is more or less overlap between both conditions. However, it has yet to be determined if sarcopenia and frailty can be used interchangeably or that they have additional value and should be used in combination to optimize individualized treatment in HNC patients.

Progressive Skeletal Muscle Loss After Surgery and Adjuvant Radiotherapy Impact Survival Outcomes in Patients With Early Stage Cervical Cancer

The effect of skeletal muscle loss associated with surgery and adjuvant radiotherapy on survival outcomes in patients with early-stage cervical cancer remains unclear. We analyzed the data of 133 patients with early-stage cervical cancer who underwent surgery and adjuvant radiotherapy between 2013 and 2018 at two tertiary centers. Skeletal muscle changes were measured using computed tomography scans at baseline, at simulation for radiotherapy, and at 3 months post-treatment. A decrease of ≥5% in the skeletal muscle was defined as “muscle loss.” The Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) was used to assess gastrointestinal toxicity. The Patient-Generated Subjective Global Assessment (PG-SGA) was used for nutritional assessment. Predictors of overall survival were identified using the Cox regression models. The median follow-up period was 3.7 years. After treatment, 32 patients (24.1%) experienced muscle loss. The rate of muscle loss was higher in patients with PRO-CTCAE score ≥3 or PG-SGA score ≥4 at the end of radiotherapy than in patients with PRO-CTCAE score ≤2 or PG-SGA score 0–3 (75.0 vs. 10.5%, p < 0.001; 71.4 vs. 2.2%, p < 0.001). The 3-year overall survival was significantly lower in patients with muscle loss than in those with muscle preserved (65.6 vs. 93.9%, p < 0.001). Multivariate analysis showed that muscle loss was independently associated with poor overall survival (hazard ratio, 4.55; 95% confidence interval: 1.63–12.72; p < 0.001). Muscle loss after surgery and adjuvant radiotherapy was associated with poor overall survival in patients with early-stage cervical cancer. Muscle loss is associated with patient-reported gastrointestinal toxicity and deterioration in nutritional status.

Muscle Loss During Androgen Deprivation Therapy Is Associated With Higher Risk of Non-Cancer Mortality in High-Risk Prostate Cancer

The changes in body composition are early adverse effects of androgen deprivation therapy (ADT); however, their prognostic impact remains unclear in prostate cancer. This study aimed to evaluate the association between body composition changes and survival in patients with high-risk prostate cancer. We measured the skeletal muscle index (SMI) and total adipose tissue index (TATI) at the L3 vertebral level using computed tomography at baseline and within one year after initiating ADT in 125 patients with high-risk prostate cancer treated with radiotherapy and ADT between 2008 and 2018. Non-cancer mortality predictors were identified using Cox regression models. The median follow-up was 49 months. Patients experienced an average SMI loss of 5.5% over 180 days (95% confidence interval: -7.0 to -4.0; p<0.001) and TATI gain of 12.6% over 180 days (95% confidence interval: 9.0 to 16.2; p<0.001). Body mass index changes were highly and weakly correlated with changes in TATI and SMI, respectively (Spearman ρ for TATI, 0.78, p<0.001; ρ for SMI, 0.27, p=0.003). As a continuous variable, each 1% decrease in SMI was independently associated with a 9% increase in the risk of non-cancer mortality (hazard ratio: 1.09; p=0.007). Moreover, the risk of non-cancer mortality increased 5.6-fold in patients with SMI loss ≥5% compared to those with unchanged SMI (hazard ratio: 5.60; p=0.03). Body mass index and TATI were not associated with non-cancer mortality. Muscle loss during ADT is occult, independent of weight change, and independently associated with increased non-cancer mortality in patients with high-risk prostate cancer.

Association of Patient-Reported Outcomes and Nutrition with Body Composition in Women with Gynecologic Cancer Undergoing Post-Operative Pelvic Radiotherapy: An Observational Study

Pelvic radiotherapy is associated with gastrointestinal toxicities and deterioration of nutritional status. This study aimed to investigate the association of patient-reported outcomes (PROs) and nutritional status with body composition changes in women who underwent hysterectomy and post-operative radiotherapy for gynecologic cancer. We analyzed data of 210 patients treated with post-operative pelvic radiotherapy for gynecologic cancer between 2013 and 2018. The PRO version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) was used for gastrointestinal toxicity assessment. The Patient-Generated Subjective Global Assessment (PG-SGA) was used for nutritional assessment. Skeletal muscle index was measured from computed tomography scans at the L3 vertebral level. A reduction in skeletal muscle index ≥ 5% was classified as muscle loss. Odds ratios were calculated through logistic regression models. The PG-SGA score increased from the beginning to the end of radiotherapy (1.4 vs. 3.7, p < 0.001). Patients with PRO-CTCAE scores ≥ 3 had significantly higher PG-SGA scores at the end of radiotherapy than those with PRO-CTCAE scores ≤ 2 (8.1 vs. 2.3, p < 0.001). On multivariable analysis, PRO-CTCAE scores ≥ 3 and PG-SGA scores ≥ 4 at the end of radiotherapy were independently associated with increased risk of muscle loss (odds ratio: 8.81, p < 0.001; odds ratio: 72.96, p < 0.001, respectively). PROs and PG-SGA may be considered as markers of muscle loss after post-operative pelvic radiotherapy for gynecologic cancer.