Sarcopenia as a Marker of Immunometabolic Vulnerability in Pancreatic Ductal Adenocarcinoma
Simple Summary
Abstract
1. Introduction
1.1. Introduction to Pancreatic Adenocarcinoma
1.2. Definition and Measurement of Sarcopenia in PDAC
1.3. Clinical Impact of Sarcopenia: Survival, Treatment Tolerance, and Prehabilitation Failure
| Study (Author/Year) | Population/Setting | Measurement Method | SMI Cutoff (Male/Female) cm2/m2 | Sarcopenia Prevalence Reported |
|---|---|---|---|---|
| Prado et al., 2008 [6] | Obese cancer patients (mixed tumours) | L3 CT-derived SMI | 52.4/38.5 | N/A (derivation cohort) |
| Martin et al., 2013 [7] | Mixed solid tumours, Western cohorts | L3 CT-derived SMI; BMI-stratified | 43–53 (BMI-stratified)/41 | Variable by BMI subgroup |
| Choi et al., 2015 [8] | Advanced PDAC, palliative chemotherapy (Asian cohort) | L3 CT-derived SMI; ROC-derived | 42.2/33.9 | 21.3% |
| Raoul et al., 2023 [1] | Pancreatic cancer (systematic review; 48 studies, n = 9063) | L3 CT-derived SMI | Variable: 40 to >50 range across studies | 19% (<40), 45% (40–50), 57% (>50) depending on cutoff used |
| Thormann et al., 2023 [2] | Pancreatic cancer (meta-analysis) | L3 CT-derived SMI | Variable across included studies | 45% pooled; high heterogeneity (I2 > 85%) |
| Bundred et al., 2019 [9] | Pancreatic cancer (systematic review; 42 studies, n = 7619) | CT (SMI) predominant; BIA and DXA also used | Multiple definitions across studies | Not pooled; wide variation noted |
| Kim et al., 2022 [10] | Resectable PDAC (n = 347) | L3 CT-derived SMI; Contal-O’Quigley method | Cohort-derived cutoffs | Not specified; AI-assisted segmentation |
2. Reframing Sarcopenia as a Marker of Immunometabolic Vulnerability
3. Sarcopenia, Cancer Cachexia and Immune Dysfunction in PDAC: Mechanistic Insights
3.1. IL-6/STAT3 Axis Signaling and Systemic Inflammatory Crosstalk
3.2. Activin-Myostatin Signaling and Muscle Growth Suppression
3.3. TGF-β/SMAD Signaling and Fibrotic Muscle Remodeling
3.4. Mitochondrial Dysfunction and Energetic Failure
3.5. Linking Mechanism to Clinical Phenotype
| Pathway | Key Study (Author/Year) | Model/Setting | Effect on Skeletal Muscle | Effect on Immune/Systemic Biology | Translational or Therapeutic Implication |
|---|---|---|---|---|---|
| IL-6/STAT3 signaling | Falconer, 1994 [22] | Human pancreatic cancer cohort | Associated with increased resting energy expenditure | Elevated cytokines; acute-phase response | Early clinical evidence of systemic inflammatory metabolism |
| Rupert, 2021 [23] | Human + murine PDAC models | Tumour-derived IL-6 drives muscle wasting via trans-signaling | Crosstalk between tumour, fat, and muscle | Demonstrates multi-organ inflammatory axis | |
| Arneson-Wissink, 2024 [24] | Murine PDAC | Hepatic STAT3 suppresses ketogenesis; systemic metabolic reprogramming | Identifies liver as mediator of cachexia | Expands cachexia beyond muscle-centric model | |
| Chen, 2025 [25] | Phase II trial (advanced PDAC) | Evaluated cachexia-related outcomes | IL-6 receptor blockade feasible in humans | Investigating utility of pathway modifiability | |
| Activin–Myostatin signaling | Zhong, 2019 [27] | Human + experimental | Elevated activins suppress muscle growth | Endocrine dysregulation | Identifies systemic activin response |
| Nissinen, 2018 [26] | Murine cancer model | ACVR2B blockade attenuates wasting; improves survival | Alters mTOR localization | Demonstrates survival signal in preclinical model | |
| Golan, 2018 [28] | Phase II trial (pancreatic cancer) | Myostatin inhibition evaluated for muscle function | Modest functional benefit | Demonstrates feasibility of direct anti-cachexia targeting | |
| TGF-β/SMAD signaling | Mendias, 2012 [31] | Experimental | Induces atrogin-1; promotes atrophy and fibrosis | Fibrotic remodeling | Mechanistic basis of muscle remodeling |
| Goodman, 2013 [32] | Experimental | SMAD3 inhibits mTOR and protein synthesis | Promotes catabolic transcriptional programs | Links signaling to anabolic suppression | |
| Dasgupta, 2023 [33] | Murine PDAC | TGF-β/KLF10 axis induces atrophy-associated genes | Intersects with tumour signaling | PDAC-specific atrophy pathway | |
| Balsano, 2022 [34] | Review (cancer cachexia) | Central role in cancer-induced muscle wasting | TGF-β suppresses cytotoxic T-cell activity | Dual muscle–immune axis | |
| Mitochondrial dysfunction | Gicquel, 2024 [35] | Murine PDAC | Impaired oxidative phosphorylation; altered mitochondrial architecture | Energetic inefficiency | Suggests qualitative muscle dysfunction |
| Poulia, 2020 [12] | Review (PDAC cachexia) | Metabolic dysregulation in muscle | Systemic inflammatory–metabolic shift | Supports immunometabolic framing | |
| Host–Tumour Immune Interface | Masuda, 2023 [19] | Human resectable PDAC | CT-defined sarcopenia | Reduced tumour-infiltrating CD8+ T cells; worse survival | Links muscle phenotype to antitumor immunity |
| Prokopchuk, 2017 [20] | Human translational | Cachexia-associated | Reduced IL-4 signaling | Qualitative immune alteration in cachexia | |
| Wiktorin, 2024 [38] | Human PDAC (perioperative) | N/A | Surgery-induced Myeloid Derived Suppressor Cell expansion associated with survival | Highlights perioperative immune suppression |
4. Sarcopenia and the Tumour Microenvironment
5. Implications for Surgical Prehabilitation in PDAC
5.1. Immunonutrition and Inflammatory Modulation
5.2. Exercise as an Immunometabolic Intervention
5.3. ERAS and Metabolic Protection
5.4. Beyond Supportive Care: Targeted Pathway Modulation
| Study (Author/Year) | Study Design/Setting | Intervention | Primary Endpoint/Outcome Measured | Key Finding | Immunometabolic Relevance |
|---|---|---|---|---|---|
| Parker et al., 2021 [11] | Non-randomised two-arm study; preoperative PDAC (n = 97) | Home-based aerobic and resistance exercise during neoadjuvant treatment | Change in SMI and SMD between treatment planning and restaging CT | Exercise group maintained SMI (0.2 ± 3.2 cm2/m2); usual care group lost SMI (−1.4 ± 3.8 cm2/m2; p = 0.03). No significant SMD difference between groups | Demonstrates exercise can attenuate muscle mass loss during neoadjuvant therapy, but muscle quality (SMD) unaffected. Consistent with upstream biological drivers of myosteatosis |
| Bundred et al., 2019 [9] | Systematic review and meta-analysis; pancreatic cancer (42 studies, n = 7619) | Body composition assessment; exercise and nutritional prehabilitation were reported | Overall survival, postoperative complications, perioperative mortality | Sarcopenia associated with perioperative mortality (OR 2.40) and reduced OS; not significantly associated with complications or fistula. Prehabilitation evidence limited and heterogeneous | Highlights the paradox driving this review: sarcopenia predicts survival but not short-term morbidity, supporting immunometabolic rather than surgical risk framing |
| De Luca et al., 2023 [40] | Narrative review; upfront resectable and borderline resectable PDAC | Immunonutrition (arginine, omega-3, nucleotides), ERAS protocols, prehabilitation during neoadjuvant treatment | Postoperative infections, length of stay, nutritional status, oncological outcomes | Preoperative immunonutrition supported by ERAS guidelines to reduce infections and length of stay. Neoadjuvant window identified as optimal for multimodal nutritional intervention. Shift from rehabilitation to prehabilitation approach recommended | Most directly relevant to clinical translation. Explicitly addresses immunonutrition in PDAC in the neoadjuvant era and recommends proactive immunometabolic intervention |
| Christopher et al., 2023 [5] | Narrative review; HPB cancers including PDAC | Multimodal exercise and nutrition prehabilitation | Postoperative complications, body composition, functional capacity, nutritional biomarkers | Evidence supports integration of exercise and nutrition prehabilitation in HPB cancers, improvements in surrogate endpoints but limited data on survival and chemotherapy completion. Optimal timing and components remain undefined | Reinforces that current prehabilitation targets surrogate endpoints rather than oncological outcomes. Supports argument for immunometabolic endpoint redesign |
| Tsukagoshi et al., 2024 [3] | Narrative review; PDAC | Nutritional supplementation, exercise, and resistance-based interventions | Survival, chemotherapy tolerance, postoperative outcomes | Heterogeneous and often disappointing results from nutritional and exercise interventions; prehabilitation does not consistently improve meaningful clinical outcomes | Provides direct support for the argument that muscle-centric prehabilitation is insufficient and an immunometabolic reframing is needed |
6. Future Directions, Trial Design and Clinical Translation
6.1. Perioperative Trial Design and Research Priorities
6.2. Clinical Implications of the Immunometabolic Framework
7. Limitations of Current Evidence
8. Reframing Surgical Success in PDAC
9. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| PDAC | Pancreatic Ductal Adenocarcinoma |
| SMI | Skeletal Muscle Index |
| IL-6 | Interleukin-6 |
| STAT3 | Signal Transducer and Activator of Transcription 3 |
| TGF-β | Transforming Growth Factor Beta |
| SMAD | Mothers Against Decapentaplegic Homolog (usually just defined as SMAD signaling proteins) |
| NF-κB | Nuclear Factor Kappa B |
| MDSC | Myeloid-Derived Suppressor Cell |
| mTOR | Mechanistic Target of Rapamycin |
| SMD | Skeletal Muscle Radiodensity |
| AMG | Albumin-Myosteatosis Gauge |
| ERAS | Enhanced Recovery After Surgery |
| ACVR2B | Activin Receptor Type IIB |
| KLF10 | Kruppel-like Factor 10 |
| ROS | Reactive Oxygen Species |
| NOX2 | NADPH Oxidase 2 |
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Karthik, M.; Shahrestani, S.; Park, J.-s.; Ratnayake, C.; Sandroussi, C. Sarcopenia as a Marker of Immunometabolic Vulnerability in Pancreatic Ductal Adenocarcinoma. Cancers 2026, 18, 1205. https://doi.org/10.3390/cancers18081205
Karthik M, Shahrestani S, Park J-s, Ratnayake C, Sandroussi C. Sarcopenia as a Marker of Immunometabolic Vulnerability in Pancreatic Ductal Adenocarcinoma. Cancers. 2026; 18(8):1205. https://doi.org/10.3390/cancers18081205
Chicago/Turabian StyleKarthik, Mukund, Sara Shahrestani, Jin-soo Park, Christian Ratnayake, and Charbel Sandroussi. 2026. "Sarcopenia as a Marker of Immunometabolic Vulnerability in Pancreatic Ductal Adenocarcinoma" Cancers 18, no. 8: 1205. https://doi.org/10.3390/cancers18081205
APA StyleKarthik, M., Shahrestani, S., Park, J.-s., Ratnayake, C., & Sandroussi, C. (2026). Sarcopenia as a Marker of Immunometabolic Vulnerability in Pancreatic Ductal Adenocarcinoma. Cancers, 18(8), 1205. https://doi.org/10.3390/cancers18081205

