Sarcopenia as a Predictor of Survival Among Patients With Organ Metastatic Cervical Cancer

Sarcopenia in gynaecological cancers

Gynaecological cancers (GCs) comprise a group of cancers that originate in the female reproductive organs. Each GC is unique, with different signs and symptoms, risk factors and therapeutic strategies. Worldwide, the majority of GCs are still associated with high mortality rates, especially ovarian, due to difficulty in early detection. Despite numerous studies on the underlying pathophysiology, research in the field of GCs poses unique scientific and technological challenges. These challenges require a concerted multi- and inter-disciplinary effort by the clinical, scientific and research communities to accelerate the advancement of prognostic, diagnostic, and therapeutic approaches. Sarcopenia is a multifactorial disease which leads to the systemic loss of skeletal muscle mass and function. It can be caused by malignancies, as well as due to malnutrition, physical inactivity, ageing and neuromuscular, inflammatory, and/or endocrine diseases. Anorexia and systemic inflammation can shift the metabolic balance of patients with cancer cachexia towards catabolism of skeletal muscle, and hence sarcopenia. Therefore, sarcopenia is considered as an indicator of poor general health status, as well as the possible indicator of advanced cancer. There is a growing body of evidence showing the prognostic significance of sarcopenia in various cancers, including GCs. This review will outline the clinical importance of sarcopenia in patients with GCs.

The sarcopenia index measured using the lumbar paraspinal muscle is associated with prognosis in endometrial cancer

OBJECTIVE

The number of type-II endometrial cancer patients has been increasing and the prognosis is not favorable. We aim to investigate whether sarcopenia index in any of several different muscles could serve as a novel biomarker of prognosis in patients with type-II endometrial cancer.

METHODS

We retrospectively investigated a total of 194 patients at four hospitals. Ninety patients were treated as derivation set and the other 104 patients as validation set. Using preoperative computed tomography images, we measured the horizontal cross-sectional area at the third lumbar spine level: the (i) psoas major, (ii) iliac and (iii) paraspinal muscle. The clinical information including recurrence-free survival and overall survival were retrospectively collected. These results were validated with external data sets of three hospitals.

RESULTS

The median values of the sarcopenia index (cm2/m2) ± standard deviation with the first data of 90 patients using the psoas, iliac and paraspinal muscle were 3.4 ± 1.0, 1.7 ± 0.6 and 12.6 ± 3.2, respectively. In univariate analyses, the sarcopenia indexes measured using the psoas or paraspinal muscle were associated with recurrence-free survival and overall survival. On the other hand, in multivariate analyses, only the sarcopenia index using paraspinal muscle was significantly related to recurrence-free survival (hazard ratio = 3.78, 95% confidence intervals = 1.29-5.97, P = 0.009) and overall survival (hazard ratio = 3.13, 95% confidence interval = 1.18-8.26, P = 0.022). Paraspinal sarcopenia index was also related to overall survival (hazard ratio = 3.74, 95% confidence interval = 1.31-10.72, P = 0.014) even in patients with advanced stage. Serum albumin was significantly correlated with the sarcopenia index (P = 0.012). Within the analysis of the validation set, sarcopenia index using paraspinal muscle was related to recurrence-free survival (hazard ratio = 2.06, P = 0.045) in multivariate analysis and recurrence-free survival (P = 0.009) in patients with advanced stage.

CONCLUSIONS

The sarcopenia index using the paraspinal muscle, not psoas, could be a suitable index to predict recurrence-free survival and overall survival in patients with type-II endometrial cancer even in advanced stage.

Development and validation of a radiomics-based nomogram for the prediction of postoperative malnutrition in stage IB1-IIA2 cervical carcinoma

Objective

In individuals with stage IB1-IIA2 cervical cancer (CC) who received postoperative radiotherapy ± chemotherapy (PORT/CRT), the interaction between sarcopenia and malnutrition remains elusive, let alone employing a nomogram model based on radiomic features of psoas extracted at the level of the third lumbar vertebra (L3). This study was set to develop a radiomics-based nomogram model to predict malnutrition as per the Patient-Generated Subjective Global Assessment (PG-SGA) for individuals with CC.

Methods

In total, 120 individuals with CC underwent computed tomography (CT) scans before PORT/CRT. The radiomic features of psoas at L3 were obtained from non-enhanced CT images. Identification of the optimal features and construction of the rad-score formula were conducted utilizing the least absolute shrinkage and selection operator (LASSO) logistic regression to predict malnutrition in the training dataset (radiomic model). Identification of the major clinical factors in the clinical model was performed by means of binary logistic regression analysis. The radiomics-based nomogram was further developed by integrating radiomic signatures and clinical risk factors (combined model). The receiver operating characteristic (ROC) curves and decision curves analysis (DCA) were employed for the evaluation and comparison of the three models in terms of their predictive performance.

Results

Twelve radiomic features in total were chosen, and the rad-score was determined with the help of the non-zero coefficient from LASSO regression. Multivariate analysis revealed that besides rad-score, age and Eastern Cooperative Oncology Group performance status could independently predict malnutrition. As per the data of this analysis, a nomogram prediction model was constructed. The area under the ROC curves (AUC) values of the radiomic and clinical models were 0.778 and 0.847 for the training and 0.776 and 0.776 for the validation sets, respectively. An increase in the AUC was observed up to 0.972 and 0.805 in the training and validation sets, respectively, in the combined model. DCA also confirmed the clinical benefit of the combined model.

Conclusion

This radiomics-based nomogram model depicted potential for use as a marker for predicting malnutrition in stage IB1-IIA2 CC patients who underwent PORT/CRT and required further investigation with a large sample size.

Low skeletal muscle mass predicts poor prognosis for patients with stage III cervical cancer on concurrent chemoradiotherapy

OBJECTIVES

The aim of this study was to evaluate whether low skeletal muscle mass before initial treatment is an independent prognostic factor defining overall survival (OS) and progression-free survival (PFS) in patients diagnosed with stage III cervical cancer.

METHODS

Body composition and clinicopathologic data were collected retrospectively. Information was extracted and analyzed from the medical records of 92 patients with stage III cervical cancer and undergoing concurrent chemoradiotherapy. Skeletal muscle mass in the L3 region was measured using cross-sectional computed tomography images and corrected for body surface area to calculate the skeletal muscle index (SMI). The primary outcome was OS, and the secondary outcome was PFS. Statistical analyses were performed using the Mann-Whitney U test. The Kaplan-Meier method was used to determine OS and PFS. Univariate and multivariate analyses were performed with Cox proportional hazard ratios.

RESULTS

The optimal cutoff value for predicting 5-y survival was 35.6 cm²/m², defined based on data derived from 24 patients with a low SMI and 68 patients without a low SMI. A low SMI was significantly associated with shorter OS (hazard ratio [HR], 2.470; 95% confidence interval [CI], 1.208-5.053; P = 0.013), with no significant difference in PFS (HR, 1.651; 95% CI, 0.876-3.110; P = 0.121). Multivariate analysis also identified a low SMI as an independent OS-defining prognostic factor (HR, 2.473; 95% CI, 1.151-5.314; P = 0.020).

CONCLUSION

A low pretreatment SMI is an independent prognostic factor for OS in patients diagnosed with stage III cervical cancer and treated with concurrent chemoradiotherapy.

Hypoalbuminemia for the prediction of survival in patients with stage IVB cervical cancer

We evaluated the prognostic significance of malnutrition in patients with metastatic cervical cancer. In this study, we retrospectively analyzed the cases of 43 patients with stage IVB (FIGO2018) cervical cancer treated at our institute from December 2004 to December 2017. We determined the correlation between clinicopathological characteristics and survival by performing univariate and multivariate analyses. The serum albumin value at diagnosis was used as an index of malnutrition. The median follow-up period was 16.4 months (range, 0.9–91.4 months). On Kaplan-Meier analysis, the 1- and 2-year overall survival (OS) rates for all patients were 61.6% and 48.6%, respectively. The optimal serum albumin for predicting 1-year survival was 3.3 g/dL, as determined by the receiver operating characteristic curve to maximize the area under the curve. The OS of the patients with albumin >3.3 g/dL (n = 28) was significantly better than that of the patients with albumin ≤3.3 g/dL (n = 15) (p = 0.004). The univariate and multivariate analyses revealed that pretreatment serum albumin and mode of primary treatment were significantly associated with survival in patients with stage IVB cervical cancer. Hypoalbuminemia was an unfavorable prognostic factor for patients with metastatic cervical cancer.

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.

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.

Impact of Computed Tomography-Based, Artificial Intelligence-Driven Volumetric Sarcopenia on Survival Outcomes in Early Cervical Cancer

The purpose of this study was to investigate the impact of sarcopenia and body composition change during primary treatment on survival outcomes in patients with early cervical cancer. We retrospectively identified patients diagnosed with 2009 International Federation of Gynecology and Obstetrics stage IB1-IIA2 cervical cancer who underwent primary radical hysterectomy between 2007 and 2019. From pre-treatment CT scans (n = 306), the skeletal muscle area at the third lumbar vertebra (L3) and the waist skeletal muscle volume were measured using an artificial intelligence-based tool. These values were converted to the L3 and volumetric skeletal muscle indices by normalization. We defined L3 and volumetric sarcopenia using 39.0 cm2/m2 and the first quartile (Q1) value, respectively. From pre- and post-treatment CT scan images (n = 192), changes (%) in waist skeletal muscle and fat volumes were assessed. With the use of Cox regression models, factors associated with progression-free survival (PFS) and overall survival (OS) were analyzed. Between the L3 sarcopenia and non-sarcopenia groups, no differences in PFS and OS were observed. In contrast, volumetric sarcopenia was identified as a poor prognostic factor for PFS (adjusted hazard ratio [aHR], 1.874; 95% confidence interval [CI], 1.028-3.416; p = 0.040) and OS (aHR, 3.001; 95% CI, 1.016-8.869; p = 0.047). During primary treatment, significant decreases in waist skeletal muscle (median, -3.9%; p < 0.001) and total fat (median, -5.3%; p < 0.001) were observed. Of the two components, multivariate analysis revealed that the waist fat gain was associated with worse PFS (aHR, 2.007; 95% CI, 1.009-3.993; p = 0.047). The coexistence of baseline volumetric sarcopenia and waist fat gain further deteriorated PFS (aHR, 2.853; 95% CI, 1.257-6.474; p = 0.012). In conclusion, baseline volumetric sarcopenia might be associated with poor survival outcomes in patients with early cervical cancer undergoing primary RH. Furthermore, sarcopenia patients who gained waist fat during primary treatment were at a high risk of disease recurrence.

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.