Use of computed tomography-derived body composition to determine the prognosis of patients with primary liver cancer treated with immune checkpoint inhibitors: a retrospective cohort study

PD-1/PD-L1 blockade therapy in hepatocellular carcinoma: Current status and potential biomarkers

Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related death and the sixth most prevalent cancer worldwide. However, most patients with HCC are at an advanced stage at the time of clinical diagnosis, making surgery impossible. In the past, targeted therapeutic drugs such as sorafenib and lenvatinib were the main treatments. With recent breakthroughs in medicine, immunotherapy, particularly immune checkpoint inhibitors (ICIs), has garnered interest and has been extensively studied for clinical treatment. In addition to single-agent therapies, combination regimens involving ICIs have also been developed. Despite this progress, not all patients with HCC benefit from immunotherapy. Therefore, to improve the treatment response rates, it is crucial to identify patients with HCC who are suitable for immunotherapy. The exploration and validation of markers to predict the outcomes of immunotherapeutic treatments in patients with HCC are of clinical importance. In this article, we provide a comprehensive review of research progress in immunotherapy, particularly ICIs and combination therapies, for HCC. Furthermore, we summarize the clinical indicators and tumor markers discovered in recent years to forecast immunotherapy outcomes in patients with HCC. We also outline predictive markers for the occurrence of immune-related adverse events in patients with HCC receiving immunotherapy and discuss future research directions in the immunotherapeutic treatment landscape.

Prognostic value of body adipose tissue parameters in cancer patients treated with immune checkpoint inhibitors

Objective

This study aims to explore the relationship between body adipose tissue characteristics and clinical outcomes in cancer patients receiving immune checkpoint inhibitor (ICI) therapy.

Methods

We conducted an extensive literature search across three major online databases-Embase, PubMed, and the Cochrane Library-to identify studies examining the link between body adipose tissue and treatment outcomes in cancer patients undergoing ICI therapy, from the inception of each database until February 20, 2024. The quality of the included studies was evaluated using the Newcastle-Ottawa Scale. The primary outcomes analyzed were hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS), as well as odds ratios (ORs) for disease control rate (DCR). Pooled estimates and 95% confidence intervals (CIs) were calculated.

Results

A total of 23 studies were included, encompassing 2741 cancer patients. The analysis revealed that patients with higher levels of visceral adipose tissue (VAT) exhibited significantly improved OS (HR: 0.72, 95% CI: 0.59-0.89, p < 0.001) and PFS (HR: 0.80, 95% CI: 0.67-0.96, p = 0.015), along with a higher DCR (OR: 1.81, 95% CI: 1.26-2.60, p = 0.001), compared to those with lower VAT levels. Additionally, increased subcutaneous adipose tissue (SAT) levels were associated with significantly better OS (HR: 0.69, 95% CI: 0.58-0.82, p < 0.001) and PFS (HR: 0.82, 95% CI: 0.68-1.00, p = 0.049), and a higher DCR (OR: 1.99, 95% CI: 1.15-3.44, p = 0.014). Elevated total adipose tissue (TAT) levels were also linked to longer OS (HR: 0.73, 95% CI: 0.55-0.97, p = 0.028). However, a higher visceral-to-subcutaneous adipose tissue ratio (VSR) was associated with a shorter OS (HR: 1.43, 95% CI: 1.09-1.87, p = 0.010). No significant relationship was found between TAT (HR: 0.81, 95% CI: 0.54-1.23, p = 0.332) and VSR (HR: 1.20, 95% CI: 0.95-1.51, p = 0.131) with PFS in ICI-treated patients.

Conclusion

This study highlights the prognostic relevance of VAT and SAT in predicting treatment response and survival outcomes in cancer patients receiving ICIs. These findings suggest that assessments of VAT and SAT should be incorporated into prognostic evaluations for this patient population.

Updates on Methods for Body Composition Analysis: Implications for Clinical Practice

BACKGROUND

Recent technological advances have introduced novel methods for measuring body composition, each with unique benefits and limitations. The choice of method often depends on the trade-offs between accuracy, cost, participant burden, and the ability to measure specific body composition compartments.

OBJECTIVE

To review the considerations of cost, accuracy, portability, and participant burden in reference and emerging body composition assessment methods, and to evaluate their clinical applicability.

METHODS

A narrative review was conducted comparing traditional reference methods like dual-energy X-ray absorptiometry (DXA), magnetic resonance imaging (MRI), and computed tomography (CT) with emerging technologies such as smartphone camera applications, three-dimensional optical imaging scanners, smartwatch bioelectric impedance analysis (BIA), and ultrasound.

RESULTS

Reference methods like CT and MRI offer high accuracy and the ability to distinguish between specific body composition compartments (e.g., visceral, subcutaneous, skeletal muscle mass, and adipose tissue within lean mass) but are expensive and non-portable. Conversely, emerging methods, such as smartwatch BIA and smartphone-based technologies, provide greater accessibility and lower participant burden but with reduced accuracy. Methods like three-dimensional optical imaging scanners balance portability and accuracy, presenting promising potential for population-level applications.

CONCLUSIONS

The selection of a body composition assessment method should be guided by the clinical context and specific application, considering trade-offs in cost, accuracy, and portability. Emerging methods provide valuable options for population-level assessments, while reference methods remain essential for detailed compartmental analysis.

Explanation of the obesity paradox of immunotherapy in cancer patients using CT-derived adipose composition parameters: A systematic review and meta-analysis

BACKGROUND

Although recent studies have reported that obesity is a protective factor for survival in patients with advanced cancers treated with immune checkpoint inhibitors (ICIs), the prognostic value of CT-derived adipose composition parameters remains unclear. This study aimed to assess the association between CT-derived adipose composition parameters and clinical outcomes in cancer patients undergoing ICIs treatment.

METHODS

A comprehensive search was conducted until May 2024 across several databases to gather relevant studies, including PubMed, Embase, Web of Science and Cochrane Library. Hazard ratios (HR) or odds ratios (OR) were used to assess the correlation between adiposity composition and clinical outcomes. The primary outcomes were overall survival (OS) and progression-free survival (PFS). The secondary outcomes were immune-related adverse events (irAEs).

RESULTS

A total of 2118 patients in 17 studies were included in the meta-analysis. Systemic analysis of all collected evidence revealed that high subcutaneous fat area (SFA) (OS: HR = 0.61, 95 % CI = 0.46-0.81, P < 0.001; PFS: HR = 0.65, 95 % CI = 0.50-0.85, P = 0.001) and high visceral fat index (VFI) (OS: HR = 0.68, 95 % CI = 0.56-0.83, P < 0.001; PFS: HR = 0.79, 95 % CI = 0.67-0.92, P = 0.003) were significantly associated with OS and PFS in cancer patients treated with ICIs. High subcutaneous fat index (SFI) was associated with better OS (HR = 0.64, 95 % CI = 0.48-0.86, P = 0.003) but not PFS (HR = 0.78, 95 % CI = 0.59-1.03, P = 0.083). However, no significant correlation was found between inter-muscular fat index (IFI) (OS: HR = 0.94, 95 % CI = 0.56-1.60, P = 0.833; PFS: HR = 1.00, 95 % CI = 0.62-1.62, P = 0.998) and OS or PFS in cancer patients under ICIs treatment.

CONCLUSION

CT-derived adipose composition parameters such as SFA, SFI and VFI are predictive of clinical outcomes in cancer patients treated with ICIs. Prospective cohorts with larger samples are needed to validate this hypothesis-generating data in the future.

Association between quantitative CT body composition analysis and prognosis in cetuximab-based first-line treatment for advanced colorectal cancer patients

BACKGROUND

The objective of this study is to investigate the potential association between change in body composition before and after cetuximab-based therapy and the prognostic outcomes among individuals diagnosed with advanced colorectal cancer.

METHODS

A retrospective analysis was undertaken on a cohort of 81 patients diagnosed with RAS wild-type (WT) metastatic colorectal cancer (mCRC) who were treated with cetuximab-based first-line therapy. To assess relevant body composition parameters, quantitative computed tomography (QCT) scans were conducted both before and after cetuximab treatment. These parameters encompassed measurements of visceral fat area (VFA), subcutaneous fat area (SFA), total muscle area (TMA) at the third lumbar vertebra level (L3), and bone mineral density (BMD) at the first and second vertebrae levels (L1/2). The skeletal muscle index (SMI) was subsequently calculated, and changes in parameters (∆VFA, ∆SFA, ∆SMI, ∆BMD) were standardized.

RESULTS

The cut-off values for ∆VFA, ∆SFA, ∆SMI, and ∆BMD were 0.28%, -2.76%, -2.97%, and -7.98%, respectively. CEA, ∆VFA, ∆SMI, and ∆BMD were associated with poor outcomes of cetuximab-based first-line chemotherapy (P < 0.05). The risk of disease progression was higher when ∆VFA < 0.28%, ∆SFA < -2.76%, ∆SMI < -2.97%, and ∆BMD < -7.98%. Multivariate analysis indicated that CEA (HR: 0.396, 95% CI: 0.160-0.980, P = 0.045), ∆VFA (HR: 0.307, 95% CI: 0.145-0.651, P = 0.002), and∆SMI (HR: 0.725, 95% CI: 0.322-1.630, P = 0.001) have significant prognostic value for progression-free survival (PFS) in RAS WT mCRC patients treated with cetuximab-based first-line chemotherapy.

CONCLUSIONS

CEA, ∆VFA, and ∆SMI are independent predictors for PFS in patients with advanced colorectal cancer. High levels of CEA, ∆VFA, and low levels of ∆SMI may indicate poorer outcomes. CEA, ∆VFA, and ∆SMI can be used to predict PFS in mCRC patients receiving cetuximab-based first-line chemotherapy.

TRIAL REGISTRATION

This study was approved by the Ethics Committee of Anhui Provincial Cancer Hospital of Anhui Medical University (Batch No:2024-ZNY-02). All subjects signed an informed consent form.

Prognostic impact of body composition in hepatocellular carcinoma patients with immunotherapy

OBJECTIVE

This study aims to examine the possible relationship between body composition parameters, sarcopenia, and clinical outcomes in hepatocellular carcinoma (HCC) patients who received immune checkpoint inhibitor (ICI) treatment.

METHODS

Three online databases, including Embase, PubMed, and the Cochrane Library, were thoroughly searched for literature describing the relationship between body composition parameters, sarcopenia, and outcomes of ICI-treated HCC patients from the start of each database to 21 January 2024. The Newcastle-Ottawa Scale was used to rate the quality of the studies. The assessed outcomes included hazard ratio (HR) for OS and PFS, as well as odds ratio (OR) for ORR and DCR.

RESULTS

This analysis included a total of 15 articles with a combined patient cohort of 1543 individuals. The results demonstrated that HCC patients with low skeletal muscle index (SMI) had significantly inferior OS (HR: 1.68, p < 0.001), PFS (HR: 1.45, p < 0.001), ORR (OR: 0.64, p = 0.044), and DCR (OR: 0.58, p = 0.009) compared to those with high SMI. The presence of sarcopenia in HCC patients was significantly related to poorer OS (HR: 1.63, p < 0.001) and PFS (HR: 1.48, p < 0.001), as well as a lower ORR (OR: 0.64, p = 0.020) and DCR (OR: 0.58, p = 0.007) in comparison to those without sarcopenia. Subgroup analysis demonstrated that these findings were consistent with the multivariate analysis. Moreover, high subcutaneous adipose index (SAI) levels were associated with better OS (HR: 0.46, p = 0.001) and PFS (HR: 0.68, p = 0.021) than those with low SAI levels.

CONCLUSION

The presence of sarcopenia and low SMI in HCC patients undergoing treatment with ICIs was found to be related to inferior treatment response and reduced long-term effectiveness.

The load of hepatitis B virus reduces the immune checkpoint inhibitors efficiency in hepatocellular carcinoma patients

Introduction

Chronic viral infection may lead to an immunosuppressive microenvironment, whereas the association between virus-related indicators and treatment response in hepatocellular carcinoma(HCC) patients undergoing immune checkpoint inhibitors(ICIs) therapy remains a topic of debate. We aim to investigate the influence of hepatitis virus on the ICI efficiency in HCC patients through a meta-analysis.

Methods

We searched PubMed, Cochrane Library, Embase, and Web of Science until 14 July 2024 to identify cohort studies involving ICIs treatments in HCC patients. We extracted data from the literature related to hepatitis B virus (HBV) infection, hepatitis C virus (HCV) infection, baseline HBV load, and antiviral therapy. Overall survival (OS) and progression-free survival (PFS) were considered as the primary endpoints, while objective response rate (ORR) was regarded as a secondary endpoint.

Results

We included 55 cohort studies published between 2019 and 2024, involving a patient population of 7180 individuals. Summarized hazard ratio (HR) comparing HBV infection with non-HBV infection in the context of ICIs therapy revealed no significant association between HBV infection and either mortality risk or progression risk with the pooled HR for OS of 1.04(95%CI: 0.93-1.16, P=0.483) and the pooled HR for PFS of 1.07(95%CI:0.96-1.20, P=0.342). HBV infected patients with HCC may have better tumor response than non-HBV infected patients receiving ICIs with the combined relative risk(RR) for ORR was 1.94 (95%CI: 1.12-3.38, P=0.002). High baseline HBV load is associated with poor survival outcomes in patients with HCC who receive ICIs with the pooled HR for OS was 1.74 (95%CI: 1.27-2.37, P=0.001), thereby antiviral therapy has the potential to significantly enhance prognostic outcomes with the pooled HR for OS was 0.24 (95% CI: 0.14-0.42 P<0.001) and the pooled HR for PFS was 0.54 (95% CI: 0.33-0.89 P=0.014).

Conclusion

In individuals with HCC who received ICIs, there was no notable link found between HBV or HCV infection and prognosis. However, HBV infection showed a connection with improved tumor response. A higher initial HBV load is linked to worse survival results in HCC patients undergoing ICIs treatment and antiviral therapy can significantly improve its prognosis.

Prognostic impact of myosteatosis on survival with immune checkpoint inhibitors: A systematic review and meta-analysis

BACKGROUND

Myosteatosis has emerged as a promising prognostic biomarker for survival outcomes in patients with advanced cancer. However, recent research has yielded conflicting results on the association between myosteatosis and survival in patients treated with immune checkpoint inhibitors (ICIs). Therefore, we performed this systematic review and meta-analysis to evaluate the association between myosteatosis and survival outcomes in patients treated with ICIs.

METHODS

We conducted a systematic review using Pubmed, Web of Science, and Scopus databases for studies published until June 10, 2024. This protocol was registered in the PROSPERO database (Registration Number: CRD42023466337). We performed the meta-analyses with the generic inverse-variance method with a random effects model.

RESULTS

Eleven studies involving 1362 patients were included. The pooled analysis showed that patients with myosteatosis had a significantly higher risk of death compared to patients without myosteatosis (HR: 1.61, 95% CI: 1.23-2.12, p < 0.001). Subgroup analysis revealed this association was stronger in melanoma patients (HR: 2.07, 95% CI: 1.09-3.94, p = 0.030). Furthermore, patients with myosteatosis had an increased risk of progression or death than those without myosteatosis (HR: 1.31, 95% CI: 1.05-1.64, p = 0.020).

CONCLUSION

Myosteatosis is associated with a higher risk of death in ICI-treated patients. Further research in larger cohorts is needed to standardize the definition of myosteatosis as well as the true mechanistic association between myosteatosis and survival in patients treated with ICIs.

Association between sarcopenia-related markers and cholelithiasis: A prospective and Mendelian randomization study

Cholelithiasis is a common digestive disease that drives a myriad of adverse complications. The correlation between sarcopenia and various digestive disorders has been extensively researched, whereas its association with cholelithiasis remains unreported. We aimed to investigate the association through prospective and Mendelian randomization (MR) analyses and establish a quantitative score reflecting the impact of sarcopenia-related markers on cholelithiasis. The prospective study involved 448 627 participants from the UK Biobank. Cox proportional hazard models were employed to investigate the correlation between sarcopenia-related markers and cholelithiasis. To quantitatively assess cholelithiasis risk, the SARCHO score was derived from a multivariable Cox model. Bidirectional two-sample MR analysis was conducted to validate the causal association. A total of 16 738 individuals developed cholelithiasis during a median follow-up of 12 years. Hazard ratios (HRs) of cholelithiasis decreased stepwise over skeletal muscle index tertiles (highest tertile: reference; middle tertile: 1.23, p < .001; lowest tertile: 1.33, p < .001). The tertiles of grip strength showed a similar pattern. Individuals with slow walking pace had a higher risk of cholelithiasis compared to those with normal walking pace (HR 1.23; p < .001). Our SARCHO score better quantifies the risk of cholelithiasis. MR analysis showed a causal relationship between muscle mass and cholelithiasis (OR 0.81; p < .001). No causal effect of cholelithiasis on lean mass was observed. Prospective and MR analyses have consistently demonstrated an increased risk of cholelithiasis in individuals with decreased muscle mass. Additionally, SARCHO score further quantified the cholelithiasis occurrence risk. These findings provide compelling evidence for muscle strengthening in preventing cholelithiasis.

Sarcopenia affects the clinical efficacy of immune checkpoint inhibitors in patients with gastrointestinal cancers

OBJECTIVE

The impact of sarcopenia on the efficacy of immune checkpoint inhibitors (ICI) in gastrointestinal cancer (GIC) patients remains uncertain in clinical practice. Hence, this study aims to investigate the potential correlation between sarcopenia and the clinical outcomes of GIC patients treated with ICIs.

METHODS

To gather pertinent studies, a systematic literature search was implemented across multiple databases, including PubMed, Embase, the Cochrane Library, and Google Scholar. The primary outcomes of interest were overall survival (OS) and progression-free survival (PFS), measured with the hazard ratio (HR). And the secondary outcomes, including disease control rate (DCR), overall response rate (ORR), and adverse events (AE), were evaluated with the odd ratio (OR).

RESULTS

A total of 13 articles involving 1294 patients were collected for this analysis. The pooled results revealed that GIC patients with sarcopenia had significantly poorer OS (HR = 1.697, 95% CI = 1.367-2.106, p < 0.001) and PFS (HR: 1.551, 95% CI: 1.312-1.833, p < 0.001), and lower ORR (OR = 0.594, 95% CI = 0.388-0.909, p = 0.016) and DCR (OR: 0.553, 95% CI: 0.360-0.850, p = 0.007) compared to those without sarcopenia. However, sarcopenia did not increase the incidence of treatment-related adverse events compared with non-sarcopenia (OR = 1.377, 95% CI = 0.693-2.737, p = 0.361). According to subgroup analysis, the association between sarcopenia and the therapeutic effect of ICI on patients with primary liver cancer or gastric cancer was consistent with the above findings.

CONCLUSION

Sarcopenia is significantly correlated with poorer treatment response and worse long-term efficacy in GIC patients treated with ICIs. Moreover, sarcopenia does not increase the incidence of adverse events.

Prognostic value of obesity in patients with cancer treated with immune checkpoint inhibitors: An updated meta‑analysis and systematic review

Accumulating interest has been surging over the past few years regarding the effects of obesity on immunotherapy. In addition to the body mass index (BMI), imaging-quantified body fat compartments have been investigated. The present study aimed to evaluate the predictive value of the BMI and computed tomography (CT)-based body fat in patients with cancer receiving immunotherapy. For this purpose, the PubMed, MEDLINE, EMBASE and Cochrane databases were searched from January 2017 to July 2022. Clinical studies evaluating the association between BMI or body fat and survival of patients with cancer treated with immune checkpoint inhibitors (ICIs) were included. In total, 15 studies reporting on the BMI were included in the meta-analysis and 16 studies evaluating body fat were included in the systematic review. According to the classification of the World Health Organization, overweight and obese patients with ICI treatment showed improved overall survival [overweight vs. normal: Hazard ratio (HR)=0.79, 95% confidence interval (CI)=0.64-0.98, P=0.03; obese vs. normal: HR=0.75, 95% CI=0.60-0.94, P=0.013] and progression-free survival (overweight vs. normal: HR=0.82, 95% CI=0.70-0.97, P=0.02; obese vs. normal: HR=0.81, 95% CI=0.65-1.02, P=0.07). Among the articles investigating the effect of body fat composition on the efficacy of immunotherapy, a number of studies included various CT analysis techniques and cutoffs to define body fat composition. Associations of body fat with survival were contradictory in different patients with cancer treated with immunotherapy. Obesity was associated with better survival in patients with cancer treated with ICIs. Further analyses are required to demonstrate the prognostic value of body fat in patients with cancer immunotherapy.

Biomarkers predicting the efficacy of immune checkpoint inhibitors in hepatocellular carcinoma

In recent years, immune checkpoint inhibitors (ICIs) have emerged as a transformative approach in treating advanced hepatocellular carcinoma (HCC). Despite their success, challenges persist, including concerns about their effectiveness, treatment costs, frequent occurrence of treatment-related adverse events, and tumor hyperprogression. Therefore, it is imperative to identify indicators capable of predicting the efficacy of ICIs treatment, enabling optimal patient selection to maximize clinical benefits while minimizing unnecessary toxic side effects and economic losses. This review paper categorizes prognostic biomarkers of ICIs treatment into the following categories: biochemical and cytological indicators, tumor-related markers, imaging and personal features, etiology, gut microbiome, and immune-related adverse events (irAEs). By organizing these indicators systematically, we aim to guide biomarker exploration and inform clinical treatment decisions.

The relationship between clinicopathological variables, systemic inflammation, and CT-derived body composition with survival in patients with advanced non-small cell lung cancer receiving nivolumab as a second-line treatment

BACKGROUND

Second-line immunotherapy is currently recognized to help only a subset of patients with advanced forms of non-small cell lung cancer (NSCLC). The current study analyzes the connection between prior treatment host/tumor characteristics and survival in advanced NSCLC patients receiving nivolumab as a second-line therapy.

METHODS

A retrospective cohort analysis was carried out on individuals with advanced NSCLC receiving second-line Nivolumab with palliative intent between February 2016 and May 2019 across three health boards in NHS Greater Glasgow and Clyde, Lanarkshire, Ayrshire, and Arran in Scotland to examine the association between systemic inflammation, body composition, and survival were determined using computed tomography (CT).

RESULTS

The current study investigates the connection between prior treatment host/tumor characteristics and survival in advanced NSCLC patients receiving nivolumab as a second-line therapy. The majority were 65 years of age or older (51%), female (53%), had adenocarcinoma (53%), and had good performance status (ECOG 0/1) (86%). Most patients had high SFI (70%) or VFA (54%). The median overall survival after starting Nivolumab was 15 months. ECOG-PS and hypoalbuminemia were significant predictors of 12-month survival in patients with advanced NSCLC following Nivolumab treatment, according to Cox regression (p-value = 0.047 and 0.014, respectively).

CONCLUSION

In patients with advanced NSCLC receiving Nivolumab as a second-line therapy, ECOG-PS and hypoalbuminemia were strongly associated with survival. Systemic inflammation and hypoalbuminemia measurements may enhance the ECOG-PS stratification of expected outcomes.

Impact of sarcopenia and sarcopenic obesity on survival in patients with primary liver cancer: a systematic review and meta-analysis

Background

Sarcopenia and sarcopenic obesity are associated with an increased possibility of adverse clinical outcomes; however, the effects of sarcopenia and sarcopenic obesity on patients with primary liver cancer remain controversial. Therefore, the present study aimed to determine the impact of sarcopenia and sarcopenic obesity on survival in patients with primary liver cancer.

Methods

We searched studies published in English in PubMed, Embase, Web of Science, and Cochrane Library databases up to 13 November 2022. Cohort studies that reported the association among sarcopenia, sarcopenic obesity, and patient survival were included.

Results

A total of 64 cohort studies with data on 11,970 patients with primary liver cancer were included in the meta-analysis. Sarcopenia was associated with poor overall survival in patients with primary liver cancer [adjusted hazard ratio (HR) 2.11, 95% confidence interval (CI): 1.89-2.36, P < 0.0001], with similar findings for sarcopenic obesity (adjusted HR: 2.87, 95% CI: 2.23-3.70, P < 0.0001). Sarcopenia was also associated with poor overall survival across the subgroups analyzed by ethnicity, type of liver cancer, treatment modalities, method used to define sarcopenia, and etiology of liver cancer. We also found a negative correlation among sarcopenia, sarcopenic obesity, and recurrence-free/disease-free survival (adjusted HR: 1.73, 95% CI: 1.50-1.99, P < 0.001; adjusted HR: 2.28, 95% CI: 1.54-3.35, P < 0.001, respectively).

Conclusion

Sarcopenia and sarcopenic obesity were significantly associated with poor overall survival and recurrence-free/disease-free survival in patients with primary liver cancer.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=378433, PROSPERO [42022378433].

Imaging-based adipose biomarkers for predicting clinical outcomes of cancer patients treated with immune checkpoint inhibitors: a systematic review

Background

Since the application of Immune checkpoint inhibitors (ICI), the clinical outcome for metastatic cancer has been greatly improved. Nevertheless, treatment response varies in patients, making it urgent to identify patients who will receive clinical benefits after ICI therapy. Adipose body composition has proved to be associated with tumor response. In this systematic review, we aimed to summarize the current evidence on imaging adipose biomarkers that predict clinical outcomes in patients treated with ICI in various cancer types.

Methods

Embase and PubMed were searched from database inception to 1st February 2023. Articles included investigated the association between imaging-based adipose biomarkers and the clinical outcomes of patients treated with ICI. The methodological quality of included studies was evaluated through Newcastle- Ottawa Quality Assessment Scale and Radiomics Quality Score tools.

Results

Totally, 22 studies including 2256 patients were selected. Non-small cell lung cancer (NSCLC) had the most articles (6 studies), followed by melanoma (5 studies), renal cell carcinoma (RCC) (3 studies), urothelial carcinoma (UC) (2 studies), head and neck squamous cell carcinoma (HNSCC) (1 study), gastric cancer (1 study) and liver cancer (1 study). The remaining 3 studies investigated metastatic solid tumors including various types of cancers. Adipose biomarkers can be summarized into 5 categories, including total fat, visceral fat, subcutaneous fat, intramuscular fat and others, which exerted diverse correlations with patients' prognosis after being treated with ICI in different cancers. Most biomarkers of body fat were positively associated with survival benefits. Nevertheless, more total fat was predictable of worse outcomes in NSCLC, while inter-muscular fat was associated with poor clinical benefits in UC.

Conclusion

There is relatively well-supported evidence for imaging-based adipose biomarkers to predict the clinical outcome of ICI. In general, most of the studies show that adipose tissue is positively correlated with clinical outcomes. This review summarizes the significant biomarkers proven by researches for each cancer type. Further validation and large independent prospective cohorts are needed in the future. The protocol of this systematic review has been registered at the International Prospective Register of Systematic Reviews (http://www.crd.york.ac.uk/PROSPERO, registration no: CRD42023401986).

Body composition predicts prognosis of hepatocellular carcinoma patients undergoing immune checkpoint inhibitors

PURPOSE

Immune checkpoint inhibitors (ICIs) with anti-PD-1/PD-L1 antibody are promising treatments for hepatocellular carcinoma (HCC), but lack reliable biomarkers of response. In the present study, we aimed to investigate the correlation between pre-treatment body composition measures (muscle, adipose, etc.) and the prognosis of patients with HCC treated with ICIs.

METHODS

We measured the total area of all skeletal muscles, total adipose tissue area, subcutaneous adipose tissue area, and visceral adipose tissue area at the level of the third lumbar vertebra using quantitative CT. Then, we calculated the skeletal muscle index, visceral adipose tissue index, subcutaneous adipose tissue index (SATI), and total adipose tissue index. The Cox regression model was used to determine the independent factors of the patient prognosis and construct a nomogram to predict survival. The consistency index (C-index) and calibration curve were used to determine the predictive accuracy and discrimination ability of the nomogram.

RESULTS

Multivariate analysis revealed that the SATI (high- vs. low SATI; HR 0.251; 95% CI 0.109-0.577; P = 0.001), sarcopenia (sarcopenia vs. no sarcopenia; HR 2.171; 95% CI 1.100-4.284; P = 0.026), and portal vein tumor thrombus (PVTT) (PVTT vs. No PVTT; HR 2.429; 95% CI 1. 197-4. 929; P = 0.014) were indicated as independent prognostic factors for OS in multivariate analysis. Multivariate analysis indicated that Child-Pugh class (HR 0.477, 95% CI 0.257-0.885, P = 0.019) and sarcopenia (HR 2.376, 95% CI 1.335-4.230, P = 0.003) were independent prognostic factors of PFS. We established a nomogram using SATI, SA, and PVTT to predict the 12-month and 18-month survival probability of HCC patients treated with ICIs. The C-index of the nomogram was 0.754 (95% CI 0.686-0.823), and the calibration curve confirmed that the predicted results were in good agreement with the actual observations.

CONCLUSION

Subcutaneous adipose and sarcopenia are significant prognostic factors of patients with HCC receiving ICIs. A nomogram based on body composition parameters and clinical factors could well predict survival in HCC patients treated with ICIs.

Efficacy and safety of different PD-1 inhibitors in combination with lenvatinib in the treatment of unresectable primary liver cancer: a multicentre retrospective study

Immune checkpoint inhibitors (ICIs) are safe and efficacious treatments for advanced primary liver cancer (PLC). The efficacy of different ICIs in the treatment of liver cancer remains unclear. The purpose of this study was to explore whether there is a difference in the efficacy and safety of various programmed cell death protein 1 (PD-1) inhibitors in combination with lenvatinib in the treatment of unresectable PLC. Patients with PLC treated with lenvatinib in combination with PD-1 inhibitors (camrelizumab, tislelizumab, sintilimab, or pembrolizumab) between January 2018 and December 2021 were retrospectively enrolled. Tumor response, adverse events, and grades were evaluated. Kaplan-Meier analysis and log-rank test were used to compare the overall survival and progression-free survival of patients treated with different PD-1 inhibitors. Cox regression analysis was used for univariate and multivariate analyses to identify clinical variables related to treatment efficacy. This study included a total of 176 patients who received a combination of lenvatinib and PD-1 inhibitors. Of these, 103 patients received camrelizumab, 44 received tislelizumab, 20 received sintilimab, and 9 received pembrolizumab. There was no significant difference in the pairwise comparison of camrelizumab, tislelizumab, sintilimab, and pembrolizumab using Kaplan-Meier survival analysis. Adverse events occurred in 40 (22.7%) patients (grade ≥ 3, 2.3%). The incidence of grade 3 adverse events among the four PD-1 inhibitor groups was below 5%. Camrelizumab, tislelizumab, sintilimab, and pembrolizumab are viable options for patients with unresectable PLC. These PD-1 inhibitors in combination with lenvatinib showed good safety profiles. The results guide selecting treatment for patients with unresectable PLC.

Survival and immunotoxicities in association with sex-specific body composition patterns of cancer patients undergoing immune-checkpoint inhibitor therapy - A systematic review and meta-analysis

BACKGROUND

Imbalanced body composition is mechanistically connected to dysregulated immune activities. Whether overweight/obesity or sarcopenia has an impact on treatment results in cancer patients undergoing immune checkpoint inhibitor (ICI) therapy is currently under debate. We aimed to answer if survival rates and occurrence of immune-related adverse events (irAEs) were different in obese or sarcopenic patients.

METHODS

A systematic search was conducted in PubMed, Embase and CENTRAL for all records published until July 2022 using specific search terms for body composition in combination with terms for ICI regimens. Two authors screened independently. All studies that reported on body mass index or sarcopenia measures were selected for further analysis.

RESULTS

48 studies reporting on overweight/obesity comprising of 19,767 patients, and 32 studies reporting on sarcopenia comprising of 3193 patients fulfilled the inclusion criteria. In the entire cohort, overweight/obesity was significantly associated with better progression-free survival (PFS; p = 0.009) and overall survival (OS; p <0.00001). Subgroup analyses stratified by sex revealed that overweight/obese males had the strongest survival benefit (PFS: p = 0.05; OS: p = 0.0005), and overweight/obese female patients did not show any. However, overweight/obese patients of both sexes had a higher risk to develop irAEs grade ≥3 (p = 0.0009). Sarcopenic patients showed significantly shorter PFS (p <0.0001) and OS (p <0.0001). The frequency of irAEs did not differ between sarcopenic and non-sarcopenic patients.

CONCLUSION

This meta-analysis suggests that body composition is associated in a sex-specific manner with survival and irAEs in cancer patients undergoing ICI treatment.

Metabolic and histomorphological changes of adipose tissue in cachexia

PURPOSE OF REVIEW

To describe the role of the main changes occurring in adipose tissue during cachexia and how these affects patient's outcomes, with a specific focus on cancer.

RECENT FINDINGS

In cachexia, the changes within the adipose tissue have been recently described as the presence of inflammatory infiltration (T-lymphocytes and macrophages), enhanced fibrosis, and the occurrence of beige adipocytes (i.e., browning). The latter one is a process driving cachexia enhancing thermogenesis, primarily via modulation of uncoupling protein 1. Also, increased lipolysis of white adipose tissue, especially in cancer, via higher expression of hormone sensible and adipose tissue triglyceride lipases, was detected in experimental models and in human adipose tissue. Other systemic metabolic alterations occur in association with changes in adiposity, including insulin resistance and increased inflammation, all conditions associated with a worse outcome. Moreover, these profound metabolic alterations were shown to be implicated in several consequences, including extreme and progressive unvoluntary body weight loss.

SUMMARY

Alterations in adiposity occur early during cachexia. Adipose tissue atrophy, as well as metabolic changes of white adipose tissues were observed to be pivotal in cachexia, and to be implicated in several clinical complications and poor prognosis.Further research is necessary to clarify the mechanisms underlying the loss of adiposity and therefore to identify novel therapeutic options to counteract this phenomenon in cachexia.

Impact of Patient Characteristics on the Outcomes of Patients with Gastrointestinal Cancers Treated with Immune Checkpoint Inhibitors

Gastrointestinal (GI) cancers are a group of malignancies that globally account for a significant portion of cancer incidence and cancer-related death. Survival outcomes for esophageal, gastric, pancreatic, and hepatobiliary cancers remain poor, but new treatment paradigms are emerging with the advent of immune checkpoint inhibitor (ICI) therapy. This review characterizes patient-related prognostic factors that influence the response to ICI therapy. We performed an analysis of the landmark randomized clinical trials in esophageal, gastric, colorectal, hepatocellular, pancreatic, and biliary tract cancers in terms of patient demographic factors. A literature review of smaller retrospective studies investigating patient-related factors was completed. The immunological bases for these associations were further explored. The key predictive factors identified include age, sex, performance status, geography, body mass index, sarcopenia, gut microbiome, various biochemical factors, and disease distribution.