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

The Prognostic Value of Sarcopenia in Clinical Outcomes in Cervical Cancer: A Systematic Review and Meta-Analysis

BACKGROUND

Sarcopenia is a condition characterized by inadequate muscle and function decline and is often associated with ageing and cancer. It is established that sarcopenia and muscle loss occurred during treatment are associated with the clinical outcomes of patients with cancer. This systematic review and meta-analysis aims to evaluate the association between sarcopenia at pretreatment and during treatment and overall survival or disease progression in patients with cervical cancer.

METHODS

The Web of Science, Embase, Medline and Cochrane Library databases were searched until 4 July 2024. Studies evaluating the prognostic effect of muscle mass at pretreatment or muscle change during treatment on survival or disease progression for patients with cervical cancer were included. Study quality was evaluated with the Newcastle-Ottawa Scale (NOS). Forest plots and summary effect models were used to show the effect size of sarcopenia on clinical outcomes.

RESULTS

The search strategy yielded 1721 studies in four databases. Eleven and seven studies were included in the quantitative analysis of pretreatment sarcopenia and muscle change on clinical outcomes, respectively. A total of 1907 patients underwent pretreatment muscle assessment, but 1016 were monitored for muscle changes; however, none of the studies involved measures of muscle strength or function. Meta-analysis showed a significant association between pretreatment sarcopenia and OS [hazard ratio (HR) 1.58, 95% confidence interval (CI): 1.16-2.14, p = 0.003] and PFS (HR 1.63, 95%CI 1.16-2.29, p = 0.005) according to data of univariate analysis. In the meta-analysis of the multivariate data, pretreatment sarcopenia remained associated with poor OS (HR 3.09, 95% CI: 2.07-4.61, p < 0.00001) and PFS (HR: 1.55, 95%CI 1.06-2.28, p = 0.03). Additionally, muscle loss was significantly associated with OS (HR 5.18, 95%CI 3.54-7.56, p < 0.00001) and PFS (HR 2.62, 95%CI 1.63-4.22, p < 0.00001). Subgroup analysis showed that the association between pretreatment sarcopenia and OS, as well as PFS, was influenced by muscle mass measurements and cut-off values, whereas muscle loss consistently predicted worse OS and PFS when stratified by varying degrees of reduction. The NOS scores of all included studies were ≥ 6.

CONCLUSIONS

Pretreatment sarcopenia and muscle change during treatment are significantly associated with both overall survival and disease progression. Therefore, muscle assessment and monitoring should be conducted for appropriate diagnosis and intervention to improve clinical outcomes in patients with cervical cancer.

Pretreatment Computed Tomography-Defined Sarcopenia, Treatment-Associated Muscle Loss, and Survival in Patients With Cervical Cancer: A Systematic Review and Meta-Analysis

CONTEXT

Sarcopenia has been identified as a potential predictor of poor prognosis in various types of cancer. However, the impact of pretreatment sarcopenia and the reduction of skeletal muscle mass during treatment on survival outcomes of patients with cervical cancer is still not well understood.

OBJECTIVE

This meta-analysis was conducted to investigate the impact of pretreatment sarcopenia and treatment-associated muscle loss on survival outcomes in patients with cervical cancer.

DATA SOURCES

The PubMed, EMBASE, Web of Science, and Cochrane Library databases were searched for studies exploring the relationship between muscle loss and the prognosis of cervical cancer until January 1, 2023.

DATA EXTRACTION

The hazard ratios (HRs) and 95% CIs for overall survival (OS) and progression-free survival (PFS) were extracted.

DATA ANALYSIS

The data were analyzed using R software. The studies' quality was assessed using the Quality in Prognostic Studies tool. Twelve observational studies involving 1498 patients with cervical cancer were included in the analysis, with a prevalence of sarcopenia ranging from 24.8% to 57.5%. Sarcopenia was an independent predictor of poor OS (HR, 1.68; 95% CI, 1.28-2.21; P < .01) and PFS (HR, 1.53; 95% CI, 1.19-1.98; P < .01) in patients with cervical cancer. Additionally, the decrease in skeletal muscle during treatment was also significantly related to the OS (HR, 4.46; 95% CI, 2.87-6.94; P < .01) and PFS (HR, 2.89; 95% CI. 1.83-4.55; P < .01).

CONCLUSIONS

The prevalence of pretreatment sarcopenia was high among patients with cervical cancer. Pretreatment sarcopenia and skeletal muscle loss during treatment both negatively affected prognosis in cervical cancer.

Exosomes in the pathogenesis and treatment of cancer-related cachexia

Cancer-related cachexia is a metabolic syndrome characterized by weight loss, adipose tissue decomposition, and progressive skeletal muscle atrophy. It is a major complication of many advanced cancers and seriously affects the quality of life and survival of cancer patients. However, the specific molecules that mediate cancer-related cachexia remain elusive, and the fundamental cellular and molecular mechanisms associated with muscle atrophy and lipidolysis in cancer patients still need to be investigated. Exosomes, a newly discovered class of small extracellular vesicles that facilitate intercellular communication, have a significant role in the onset and development of various cancers. Studies have shown that exosomes play a role in the onset and progression of cancer-related cachexia by transporting active molecules such as nucleic acids and proteins. This review aimed to provide an overview of exosome developments in cancer-induced skeletal muscle atrophy and adipose tissue degradation. More importantly, exosomes were shown to have potential as diagnostic markers or therapeutic strategies for cachexia and were prospected, providing novel strategies for the diagnosis and treatment of cancer-related cachexia.

Preoperative small airway dysfunction is associated with skeletal muscle loss in early-stage non-small cell lung cancer

BACKGROUND

Postoperative skeletal muscle loss (SM loss) was reported to be associated with a poor prognosis in early-stage non-small cell lung cancer (NSCLC). Small airway dysfunction (SAD) is a common but neglected respiratory abnormality. Little information is known about the association between preoperative SAD and postoperative SM loss in early-stage NSCLC. Therefore, this study aimed to investigate the correlation between preoperative SAD and SM loss after surgery in early-stage NSCLC patients.

METHODS

There were 348 NSCLC patients with stages I-IIIA in this study from January 2017 to December 2020. All CT images were contrast-enhanced scans, and the skeletal muscle index (SMI) was measured using CT images. A 10.0% decrease in SMI over 12 months was determined as the cut-off value to define excessive SM loss. Logistic regression analyses were used to examine the relationship between SAD and SM loss.

RESULTS

This study included 348 subjects who underwent pulmonary operation (159 males and 189 females; mean age: 57.5 ± 8.8 years). 152 (43.7%) patients were identified as having SAD before surgery, and 179 patients (51.4%) were identified as having SM loss after 1 year. Moreover, a higher incidence of SAD was found in the SM loss group compared with that in the non-SM loss group (52.0% vs. 34.9%, p = 0.001). The patients with SAD were older, had larger tumor size, and had lower albumin levels. Furthermore, there were significant correlations between the lung function parameters manifesting SAD and the percentage change in SMI (for the forced expiratory flow when 75% of forced vital capacity has been exhaled (FEF75%), Pearson r=-0.107, p = 0.046; for FEF50%, r = -0.142, p = 0.008; and for FEF25-75%, r=-0.124, p = 0.021; respectively). However, no significant correlations were found between SMI and the lung function parameters reflecting proximal airway obstruction (p > 0.05). Logistic regression analysis revealed that preoperative SAD (HR, 2.465; 95% CI, 1.256-4.838; p = 0.009) was independent risk factor for postoperative SM loss in early-stage NSCLC. In addition, multivariable analysis revealed that SAD (HR, 1.816; 95% CI, 1.025-3.216, P = 0.041) were associated with postoperative complications.

CONCLUSION

Preoperative SAD is significantly associated with postoperative complications and SM loss in early NSCLC patients. Our results suggest that preoperative assessment of SAD may be useful for risk stratification of surgical candidates with potential for targeted interventions.

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.

Prognostic role of pretreatment skeletal muscle index in gastric cancer patients: A meta-analysis

Background: The association between pretreatment skeletal muscle index (SMI) and long-term survival of gastric cancer patients remains unclear up to now. The aim of this meta-analysis was to identify the prognostic value of pretreatment SMI in gastric cancer. Methods: The PubMed, EMBASE and Web of Science electronic databases were searched up to 5 June 2022 for relevant studies. The primary outcome was overall survival (OS) and the second outcomes were disease-free survival (DFS) and cancer-specific survival (CSS). The hazard ratios (HRs) and 95% confidence intervals (CIs) were combined to assess the relationship between pretreatment SMI and survival of gastric cancer patients. All statistical analyses were conducted by STATA 15.0 software. Results: A total of 31 retrospective studies involving 12,434 patients were enrolled in this meta-analysis. The pooled results demonstrated that lower pretreatment was significantly associated with poorer OS (HR = 1.53, p < 0.001). Besides, lower pretreatment SMI was also related with worse DFS (HR = 1.39, p < 0.001) and CSS (HR = 1.96, p < 0.001). Conclusion: Pretreatment SMI was significantly associated with prognosis of gastric cancer patients and lower SMI predicted worse survival. However, more prospective high-quality studies are still needed to verify our findings.

Expression and Prognostic Significance of PDIA3 in Cervical Cancer

To investigate the expression of protein disulfide isomerase A3 (PDIA3/ERP57) in cervical cancer and its clinical prognostic significance as well as its function and possible action mechanism in the progression of cervical cancer. Based on TIMER2.0 database, the human protein map (Human Protein Atlas) was used to determine the expression level of PDIA3 protein for the analysis of PDIA3 expression in 39 The Cancer Genome Atlas (TCGA) tumors. The PDIA3 expression in cervical cancer tissues in the TCGA and Genotype-Tissue Expression databases was further verified based on the GEPIA2 database to analyze the relationship between the PDIA3 expression and the pathological stage of cervical cancer patients. Immunohistochemistry was used to detect the PDIA3 expression in cervical cancer tissue microarray, including 111 cancer tissue samples and 24 adjacent cancer tissue samples, and the relationship between PDIA3 protein expression and clinical characteristics of patients with cervical cancer was analyzed. The Kaplan–Meier method and log-rank test were used for survival analysis. Based on the cBioPortal database, the Spearman's and Pearson's methods were used to analyze the correlation between PDIA3 expression and DNA methylation. The correlation between PDIA3 expression and the infiltration levels of each immune cell in cervical cancer was evaluated. The STRING was used to construct protein interaction network. Based on LinkedOmics database, the Spearman's method was used to analyze the co-expressed genes of PDIA3 in TCGA cervical cancer. The gene ontology functional enrichment analysis was performed on Top 50 differentially co-expressed genes based on DAVID database. The PDIA3 expression in cervical cancer tissues was significantly higher than that in normal tissues, which (F = 2.74, PR (>F) = 0.0436) was significantly increased with the progression of tumor stage, and PDIA3 showed strong immunoreactivity in cervical cancer tissues. In cervical cancer patients, overall survival (P = 0.014), disease-specific survival (P = 0.013), disease-free interval (P = 0.023), and progression-free interval (P = 0.001) in those with high expression of PDIA3 were significantly lower than those with low expression, suggesting that high expression of PDIA3 was associated with poor prognosis. In cervical cancer, high expression of PDIA3 was associated with DNA methylation and negatively correlated with B cell memory (r = −0.132, P = 0.021), T cell regulatory (r = −0.127, P = 0.026), monocytes (r = −0.204, P = 0), and macrophages M2 (r = −0.142, P = 0.013), whereas positively correlated with levels of NK cell activated (r = 0.162, P = 0.005) and mast cells activated (r = 0.119, P = 0.037). The genes positively correlated with PDIA3 expression included HSPA5 and PPIB, which were mainly enriched in biological processes, such as endoplasmic reticulum (ER) protein folding and ER stress response. PDIA3 can be used as a marker of poor prognosis of cervical cancer. The expression level of PDIA3 is closely related to the survival and prognosis of cervical cancer patients, DNA methylation, and immune cell infiltration.

Exosomal Plasminogen Activator Inhibitor-1 Induces Ionizing Radiation-Adaptive Glioblastoma Cachexia

Cancer cachexia is a muscle-wasting syndrome that leads to a severely compromised quality of life and increased mortality. A strong association between cachexia and poor prognosis has been demonstrated in intractable cancers, including glioblastoma (GBM). In the present study, it was demonstrated that ionizing radiation (IR), the first-line treatment for GBM, causes cancer cachexia by increasing the exosomal release of plasminogen activator inhibitor-1 (PAI-1) from glioblastoma cells. Exosomal PAI-1 delivered to the skeletal muscle is directly penetrated in the muscles and phosphorylates STAT3 to intensify muscle atrophy by activating muscle RING-finger protein-1 (MuRF1) and muscle atrophy F-box (Atrogin1); furthermore, it hampers muscle protein synthesis by inhibiting mTOR signaling. Additionally, pharmacological inhibition of PAI-1 by TM5441 inhibited muscle atrophy and rescued muscle protein synthesis, thereby providing survival benefits in a GBM orthotopic xenograft mouse model. In summary, our data delineated the role of PAI-1 in the induction of GBM cachexia associated with radiotherapy-treated GBM. Our data also indicated that targeting PAI-1 could serve as an attractive strategy for the management of GBM following radiotherapy, which would lead to a considerable improvement in the quality of life of GBM patients undergoing radiotherapy.