Search Results (649)

Background: Pleural effusion is a common clinical presentation in both benign and malignant conditions. The advent of liquid biopsy allowed new possibilities for non-invasive molecular profiling using body fluids. Pleural fluid, by virtue of its proximity to thoracic malignancies and its rich tumour-derived content, represents a particularly compelling matrix for liquid biopsy analysis. This review synthesises current evidence regarding the diagnostic, predictive, and prognostic utility of pleural liquid biopsy in clinical medicine. Methods: A narrative review was conducted using PubMed, MEDLINE, and EMBASE databases. Search terms included combinations of “pleural effusion”, “liquid biopsy”, “circulating tumour DNA”, “circulating tumour cells”, “exosomes”, “next-generation sequencing”, and “biomarkers”. Priority was given to original research articles, systematic reviews, and meta-analyses published between 2013 and 2026. Results: Pleural fluid contains a diverse repertoire of tumour-derived analytes, including cell-free and circulating tumour DNA (ctDNA), circulating tumour cells (CTCs), exosomes, and soluble proteins. These biomarkers enable molecular characterisation of underlying malignancies with sensitivity that often exceeds that of plasma-based liquid biopsy and complements histological tissue biopsy. Detection of actionable mutations, including EGFR, ALK, KRAS, and BRAF alterations, directly informs targeted therapy selection. Furthermore, serial sampling facilitates real-time monitoring of therapeutic resistance, disease progression, and clonal evolution. Conclusions: Pleural liquid biopsy offers a minimally invasive, reproducible, and clinically informative approach to molecular profiling in patients with pleural disease, particularly those with thoracic malignancies. Despite existing challenges in standardisation and analytical sensitivity, its integration into routine clinical pathways holds significant promise for advancing personalised oncological care. Multi-omics integration and artificial intelligence may further consolidate its role in therapeutic decision-making. Full article

Advances in navigational bronchoscopy, robotic platforms, and intraprocedural imaging have transformed bronchoscopy from a diagnostic modality into a potential therapeutic platform for localized treatment of lung cancer. These developments are particularly relevant for patients who are medically inoperable, have limited pulmonary reserve, or require lung-sparing treatment strategies. This narrative review summarizes current evidence regarding bronchoscopic ablative technologies and intratumoral therapies for lung cancer. We discuss technological foundations including robotic bronchoscopy, electromagnetic and shape-sensing navigation, cone-beam computed tomography, augmented fluoroscopy, and radial endobronchial ultrasound. Available ablative modalities, including radiofrequency ablation, microwave ablation, cryoablation, photodynamic therapy, and pulsed electric field ablation, are reviewed alongside bronchoscopically delivered intratumoral chemotherapy, immunotherapy, and gene-based therapies. Early clinical studies demonstrate high technical success rates and favorable safety profiles for multiple bronchoscopic ablative approaches, with substantially lower rates of pleural complications compared with percutaneous techniques. Intratumoral therapies enable delivery of high local drug concentrations while minimizing systemic toxicity and may enhance antitumor immune responses through modulation of the tumor microenvironment. Emerging evidence suggests potential synergy between local ablation and immunotherapeutic strategies. However, available data remain limited by small sample sizes, heterogeneous treatment protocols, and a lack of randomized comparative studies. Bronchoscopic ablation and intratumoral therapies represent promising additions to the thoracic oncology armamentarium. Continued advances in navigation, imaging, and therapeutic delivery systems are enabling increasingly precise, minimally invasive interventions. Prospective clinical trials are needed to define optimal patient selection, procedural strategies, and integration with surgery, radiation, and systemic therapies within multidisciplinary lung cancer care. Full article

Gel-based novel drug delivery systems (NDDS) occupy a mechanistically distinct niche among controlled-release platforms because they decouple three design variablesnetwork cross-link density, continuous-phase polarity, and stimulus sensitivitythat in particulate carriers (liposomes, polymeric nanoparticles) are often interdependent. This critical review synthesizes 102 primary and secondary sources published predominantly between 2010 and 2026 to interrogate, rather than merely catalog, how hydrogels, organogels, aerogels, nanogels, in situ gelling systems, and hydrogel-forming microneedles have been engineered for site-specific pharmacotherapy. Beyond a taxonomic overview, the review quantitatively contrasts formulation parameters sol–gel transition temperatures (typically 32–37 °C for poloxamer 407/188 systems), swelling ratios, mesh sizes, and reported drug-release half-lives across oncology, chronic diabetic wound care, ophthalmic and nasal-to-brain delivery, musculoskeletal (intra-articular) therapy, subunit vaccine depots, periodontal pocket therapy, and glucose-responsive insulin delivery. Particular attention is paid to the mechanistic basis of burst release, the porosity–mechanical-integrity trade-off inherent to interconnected hydrogel networks, and the divergence between preclinical rodent efficacy and the comparatively sparse controlled human trial data available for most gel platforms. The review concludes that while stimuli-responsive and 3D/4D-printed gel architectures have matured substantially as engineering constructs, clinical translation remains bottlenecked less by materials science than by inconsistent characterization standards, unresolved terminal-sterilization compatibility, and a paucity of head-to-head comparative trials against existing standard-of-care formulations. Full article

Pediatric exercise oncology examines the impact of exercise across the treatment journey and into survivorship. This includes examining potential biological mechanisms; physical, mental, and emotional well-being potential outcomes; and the implementation of exercise interventions across clinical and community settings. Despite the growing evidence on positive impacts, exercise largely remains separate from pediatric cancer care. The Pediatric Exercise Oncology Congress, in conjunction with the European research teams leading FORTEe (a Horizon 2020-funded study across 10 European countries), was held in Mainz, Germany, in April 2026. Two days of invited talks, research oral and poster presentations included research on biological mechanisms, clinical integration and modes of delivery, intervention impacts ranging across physical and psychosocial outcomes, and patient and community partner perspectives. The conference provided an opportunity to build networks, engage in discussions on what ‘really’ matters to grow the research and impact of this field, and the need to move evidence to practice to support wellness across childhood and adolescent cancer journeys. Full article

Pancreato-hepatobiliary (HPB) malignancies—pancreatic ductal adenocarcinoma (PDAC), hepatocellular carcinoma (HCC), and the biliary tract cancers (BTC) comprising intrahepatic, perihilar and distal cholangiocarcinoma, gallbladder carcinoma, and ampullary adenocarcinoma—together constitute one of the heaviest and fastest-growing burdens in global oncology. Liver cancer is the third leading cause of cancer death worldwide, and pancreatic cancer, with a mortality-to-incidence ratio approaching unity, is projected to become the second leading cause of cancer death in high-income countries. This narrative review synthesises PubMed-indexed evidence across the full clinical arc of all three disease families, organised around epidemiology and risk; diagnosis, staging and biomarkers; surgical and multimodal management; and the rapidly evolving systemic therapy landscape, with survival and prognosis integrated throughout. Three cross-cutting narratives emerge. First, HPB cancers are united by late presentation, biological aggressiveness, and dependence on a background of organ dysfunction (cirrhosis in HCC, biliary obstruction in BTC and PDAC, and chronic pancreatitis as a major predisposing background in PDAC) that constrains therapy. Second, their trajectories are diverging: HCC has achieved the largest proportional survival gain of any solid tumour, driven by surveillance and immunotherapy in the subset of patients who reach specialist care; BTC has entered a nascent precision-oncology era in which FGFR2, IDH1, HER2, and BRAF alterations are druggable and immune-chemotherapy is first-line standard, although absolute survival gains remain modest and access to comprehensive molecular profiling is uneven; whereas PDAC has improved only incrementally, its immunosuppressive stroma and near-universal KRAS driver remaining formidable barriers. Third, molecular profiling, multidisciplinary care, and surgical centralisation are now non-negotiable structural determinants of outcome. We conclude that HPB oncology has entered a phase of real but unevenly distributed progress: long-term survival remains poor for most patients globally, and translating these advances into population-level gains will require earlier detection, broader access to molecular profiling and novel therapies, and biology-driven innovation. Full article

Background: Pancreatic adenocarcinoma (PDAC) remains one of the most lethal malignancies, with limited survival gains despite advances in systemic therapy. However, rapid expansion of biomarker-directed therapies, immunotherapy, and novel treatment modalities has created an increasingly complex clinical trial landscape. We aimed to characterize contemporary PDAC clinical development and identify emerging therapeutic trends. Methods: We performed a narrative review with a scoping approach of active PDAC clinical trials registered on ClinicalTrials.gov. Eligible studies were initiated between January 1, 2021, and February 16, 2026, and included recruiting, active, or not-yet-recruiting phase I–III trials. Data extracted included trial phase, disease setting, therapeutic strategy, endpoints, enrollment, sponsorship, and late-phase development. Results: A total of 355 interventional trials were included. Most trials were phase I, phase I/II, or phase II trials, with fewer than 10% being evaluated in phase II/III or phase III development. Advanced or metastatic disease was the predominant setting. Chemotherapy remained the most frequently incorporated treatment modality, while molecularly targeted therapies were evaluated in 167 trials. KRAS/RAS-directed approaches represented the largest targeted subgroup, although only daraxonrasib and setidegrasib reached phase III evaluation. Immunotherapy was evaluated in 139 trials, although only a limited number progressed to late-phase development, reflecting the immune-resistant biology of pancreatic adenocarcinoma. Additional areas of active investigation included Claudin 18.2-targeted therapies, MTAP-associated approaches, homologous recombination deficiency-directed strategies, CD73 inhibition, radiotherapy, local interventions, surgery-focused optimization, imaging-guided approaches, and supportive-care interventions. Industry organizations were listed as the lead sponsor for approximately half of all studies, while non-commercial organizations supported most remaining trials. Conclusions: The contemporary PDAC clinical trial landscape is characterized by broad therapeutic diversification but limited late-phase maturity. Chemotherapy remains the dominant treatment backbone, whereas KRAS/RAS-directed therapies have emerged as the most advanced precision oncology strategy. Future progress will likely depend on successful integration of biomarker-selected therapies with established multidisciplinary treatment approaches, including optimized systemic therapy, local-control strategies, and supportive care. Full article

Surgical resection is the main curative option for non-small-cell lung cancer. Pulmonary resections have historically been performed through a highly morbid open thoracotomy. Minimally invasive approaches to pulmonary resection have revolutionized the field with reduced perioperative morbidity, including less postoperative pain, length-of-stay, and complications, while potentially enhancing oncologic outcomes. In its current generation, robotically performed video-assisted thoracoscopic surgery (R-VATS) offers numerous advantages over traditional VATS and is increasingly becoming the standard of care. In this review, we highlight the technical and clinical advantages of R-VATS compared to VATS and traditional thoracotomy. We reflect on emerging advancements in the utilization of the minimally invasive platform for single-anesthetic marking and resection of pulmonary nodules, the integration of artificial intelligence and radiomics to augment preoperative planning, and the expanding role of single-incision robotic surgery. Lastly, we discuss the financial considerations of implementing a robotic thoracic platform and identify opportunities to optimize costs. Full article

Clinical guidelines remain the foundation of evidence-based oncology, translating population-derived evidence into treatment recommendations for defined patient groups. However, patients with rare cancers, complex tumor biology, or treatment-refractory disease may reach a point at which applicable evidence is limited, or guideline-recommended treatment options have been exhausted. We propose Personalized Oncology as a complementary framework for treatment selection in these situations. Rather than asking only which treatments benefited similar patients, Personalized Oncology asks which available treatment is expected to provide the most favorable benefit–risk profile for the individual patient. It does so by integrating population-derived medical evidence with patient-specific biological evidence generated from the individual cancer. Importantly, exhaustion of guideline-recommended treatments does not necessarily mean exhaustion of biologically supported treatment opportunities. The supporting evidence, rationale, alternatives, limitations, and uncertainty are documented to enable transparent clinical decision-making. Neither population-derived evidence nor patient-specific biological evidence determines in advance whether an individual patient will benefit. Treatment response must therefore be systematically monitored and incorporated into subsequent decisions. Personalized Oncology standardizes this process while preserving individualized clinical judgment. Systematic capture of each patient’s biology, treatment, and outcome can create a continuous learning framework in which experience from individual patients informs future cancer care. Full article

Laryngeal pathology requires individualized management because the larynx integrates airway protection, phonation, swallowing, and respiratory function within a compact and highly variable anatomical framework. This narrative review examines how laryngeal anatomy and morphometry support interdisciplinary collaboration and personalized care in oncologic, stenotic, functional, and reconstructive laryngeal disease. Evidence from morphometric studies, CT, MRI, endoscopy, ultrasonography, three-dimensional reconstruction, artificial intelligence, and multidisciplinary clinical workflows was synthesized qualitatively. Key parameters—including vocal fold length, glottic width, thyroid cartilage angle, cricoid diameter, subglottic diameter, anterior commissure thickness, and the status of paraglottic and pre-epiglottic spaces—provide actionable information for diagnosis, T-staging, airway assessment, surgical planning, reconstruction, and functional rehabilitation. Morphometry concretely informs clinical decisions: thyroid cartilage angle guides thyroplasty and phonosurgical planning; subglottic diameter supports stenosis surgery and airway instrumentation; and anterior commissure, conus elasticus, cartilage, and deep-space measurements refine oncologic staging and margin strategy. Technological accelerators, including AI segmentation, radiomics, 3D printing, photogrammetry, and ultrasonography, extend morphometry from static measurement toward predictive modeling and patient-specific simulation. However, implementation remains limited by heterogeneous CT protocols, inconsistent measurement planes, uneven access to advanced technologies, lack of global normative databases, and unresolved ethical issues surrounding AI validation and data governance. This review supports standardizing CT morphometry using parallel vocal fold planes, routinely measuring anterior commissure thickness in T1 glottic cancer, incorporating ultrasonography as a first-line morphometric tool in voice clinics, and validating AI segmentation against population-specific morphometric norms. Laryngeal morphometry should therefore become a routine decision-making framework for precision laryngology. Full article

Background/Objectives: Borderline ovarian tumours (BOTs) are distinct epithelial neoplasms with excellent survival but variable recurrence, including late relapse and occasional malignant transformation. Follow-up strategies remain inconsistent internationally, with no standardised, risk-adapted framework. We aimed to synthesise the evidence on BOT recurrence patterns, risk factors and surveillance strategies, and to propose a structured, risk-adapted surveillance framework. Methods: This is a narrative expert synthesis rather than a systematic review. Three evidence sources were combined: our previously published comprehensive review of BOTs, our recent meta-analysis of recurrence and malignant transformation, and an appraisal of contemporary international guidelines. Clinicopathological and surgical determinants of recurrence were then mapped onto the available follow-up tools through a three-step approach, and the resulting risk strata, surveillance intervals and total follow-up duration were agreed on by consensus within a single tertiary gynaecological oncology centre (the “Barts Framework”). Results: Recurrence occurs in 3–10% of patients, with up to one-third arising beyond five years. Key predictors include fertility-sparing surgery (particularly cystectomy), incomplete staging, advanced stage, residual disease, and adverse histological features such as micropapillary/cribriform architecture and invasive implants. Three targets for surveillance were identified: early detection of recurrence, detection of malignant transformation, and optimisation of fertility. Transvaginal ultrasound emerged as the cornerstone modality, with cross-sectional imaging and tumour markers applied selectively. Four risk strata were derived, each specifying follow-up intensity, modality, total duration and care setting. Low-risk patients can be managed in decentralised settings (gynaecological units), whereas high-risk groups warrant specialist oversight (gynaecological oncology centres). Patient-initiated follow-up is incorporated to minimise unnecessary interventions. Conclusions: This risk-adapted approach provides a scalable framework to standardise BOT surveillance whilst reducing overuse and maintaining oncological safety. The framework is consensus-based and single-institution in origin, and prospective external validation with long-term outcome data is required before wider adoption. Integration of molecular stratification and artificial-intelligence-assisted imaging represents a key future direction. Full article

Background: Post-surgical breast cancer (BC) survivors frequently experience clusters of persistent post-treatment physical and psychological symptoms, which can negatively affect their quality of life (QoL). Mind–body interventions such as Qigong may offer potential benefit, but evidence in oncology remains limited. Methods: We conducted a single-arm pilot feasibility study at the AMICO clinic (IRCCS-CROB, Southern Italy) to evaluate the feasibility, acceptability, safety, and exploratory pre–post symptoms associated with an 8-week Qigong programme in post-surgical BC patients. Fourteen women (aged 42–73 years; stage I–III) who reported symptom burden and emotional sensitivity attended weekly one-hour classes and were encouraged to practise at home. Feasibility outcomes included adherence, completion of post-intervention assessment, adverse events, and participant acceptability. Symptom severity was assessed at baseline and post-intervention using a 0–5 study-specific symptom questionnaire score. For the secondary descriptive prevalence analysis, scores ≥ 3 were classified as indicating moderate-to-severe symptom burden. Results: All 14 participants completed the post-intervention assessment, overall intervention adherence was 92%, and no adverse events were reported. In the secondary descriptive analysis, the prevalence of moderate-to-severe pain and mood changes decreased from 64.3% to 35.7%, fatigue from 57.1% to 28.6%, anxiety from 85.7% to 42.9%, and sleep disturbances from 35.7% to 14.3%. Hot flushes decreased from 64.3% to 42.9%. Despite the heterogeneity of individual symptom trajectories, most participants reported meaningful improvements in overall well-being. Conclusions: The 8-week programme was feasible, well tolerated, and acceptable in this small real-world cohort. Symptom burden decreased during the intervention period; however, because of the uncontrolled study design and small sample size, these changes cannot be attributed specifically to Qigong. Larger controlled studies are required to estimate treatment effects and identify potential moderators of response. Full article

Background: The dynamic advancement of pediatric hemato-oncology and intensified therapeutic protocols have significantly increased survival rates while simultaneously highlighting the challenge of long-term treatment complications. Within the cohort of adolescent and young adult (AYA) survivors, delayed neurocognitive deficits, often manifesting as the chemobrain phenotype, and psychosocial disorders constitute a particularly substantial burden. Contemporary neurogastroenterological evidence indicates a fundamental role of persistent dysbiosis and gut–brain axis dysfunction in the pathogenesis of these alterations. This review aims to critically synthesize translational evidence elucidating the impact of iatrogenic gut microbiota damage and modifiable dietary patterns on the development of long-term neurocognitive sequelae in survivors of early childhood cancer. Methods: A systematized narrative review was conducted in accordance with the SANRA guidelines by integrating data from in vivo models and observational studies. A comprehensive literature search across the PubMed, Embase, Cochrane Central, Scopus, and Web of Science databases up to June 2026 was performed utilizing the Population, Exposure, and Outcomes (PEO) framework. Results: Oncological therapies, including myeloablative conditioning and broad-spectrum antibiotic therapy, induce a microbial scar phenomenon characterized by the depletion of commensal Firmicutes in favor of resistant pathobionts. The subsequent decline in the synthesis of neuroprotective short-chain fatty acids (SCFAs) alongside the pathological activation of the kynurenine pathway disrupts central nervous system homeostasis. Translocation of lipopolysaccharides (LPSs) across the compromised intestinal barrier generates systemic inflammation recognized as inflammaging, which, in turn, stimulates neurotoxic microglial hyperreactivity. This pathophysiological cascade is accelerated by a pro-inflammatory Western diet, whereas anti-inflammatory interventions such as the MIND diet and postbiotics demonstrate measurable restorative potential. Conclusions: The pathophysiology of delayed neurotoxicity is largely a consequence of systemic neuroinflammation driven by intestinal dysbiosis. Implementing individualized dietary and microbiome-targeted strategies into survivorship care protocols constitutes a crucial direction for clinical prophylaxis. Validating their clinical efficacy in the AYA population necessitates prospective randomized controlled trials integrated with shotgun metagenomic sequencing. Full article

This review examines the clinical and practical implications of embedding molecular profiles directly into the 2023 FIGO staging system for endometrial carcinoma, in the context of the 2025 ESGO/ESTRO/ESP guidelines. The primary purpose is to navigate a central conflict in modern oncology: how to deliver increasingly personalized care while maintaining a globally accessible, equitable, and standardized cancer classification system. The 2023 FIGO update represents a paradigm shift from the traditional dualistic model (Type I versus Type II) by allowing molecular findings to redefine stage itself. While this integration offers clear benefits, it introduces significant challenges. First, the system depends on advanced molecular testing, creating a “rich-poor” divide where patients in resource-limited settings are systematically overtreated because testing is unavailable. Second, stage becomes unstable, changing with sequential histologic and molecular re-review, which causes confusion for patients and clinicians. Third, the system lumps prognostically distinct histotypes (Serous, Clear Cell, Carcinosarcoma, and Grade 3 Endometrioid) into a single aggressive stage, obscuring meaningful differences in survival. Fourth, it relies on subjective parameters such as “substantial” lymphovascular space invasion, for which no standardized definition exists, leading to high inter-observer variability. After analyzing these controversies, the review proposes a pragmatic solution: decouple anatomical staging from molecular risk stratification. Staging should remain a purely anatomical, universally applicable descriptor of tumor extent, while molecular and histologic data are used separately within a dynamic risk assessment model, as suggested by the European guidelines. This dual-track approach preserves global comparability, reduces inequity, and maintains diagnostic stability, while still enabling personalized treatment where advanced diagnostics are available. Full article

Cancer remains a highly complex and heterogeneous disease, causing major morbidity and mortality worldwide despite advances in diagnosis and treatment. The hallmarks of cancer enlighten the biological mechanisms supporting tumourigenesis and malignant evolution, while helping to identify potential therapeutic targets. Medical cannabis has mostly been used in oncology for supportive care, but increasing preclinical evidence suggests interference with cancer-related signalling pathways. This narrative review summarizes the current evidence on cannabinoids, in particular the phytocannabinoids cannabidiol (CBD) and Δ9-tetrahydrocannabinol (THC), framing their prospective anticancer effects in the hallmarks of cancer. Preclinical studies imply that CBD exerts antiproliferative effects by modulating oncogenic signalling pathways, including EGFR, PI3K/AKT, RAS/RAF/ERK, mTOR and Wnt/β-catenin, while also influencing tumour suppressor pathways involving p53, p21 and p27, causing cell cycle arrest. CBD has additionally been shown to promote programmed cell death via mitochondrial dysfunction and autophagy, altering cancer metabolism as well. Furthermore, CBD has shown anti-invasive and antiangiogenic properties and also appears to modulate immune responses and interactions with the tumour microenvironment, including emerging links with the microbiome. Overall, cannabinoids exhibit biologically plausible antitumour activity across multiple cancer hallmarks and may present promising candidates for combination therapeutic strategies. Nonetheless, the current evidence remains predominantly preclinical, and robust translational studies and clinical trials are needed to clarify their pharmacokinetic and pharmacodynamic profiles, determine their clinical efficacy and safety while assessing their potential integration into multimodal cancer treatment. Full article

Background: Predicting recurrence after liver transplantation (LT) for hepatocellular carcinoma (HCC) remains important for post-transplant risk stratification and surveillance planning. The Milan criteria discriminate only moderately and some machine-learning re-analyses report overly optimistic results because of information leakage. Aim: The current study aimed to re-evaluate a previously published transplant cohort under a leakage-free survival-analysis framework and to benchmark post-transplant, explant-informed survival learners against the Milan criteria as a fixed pre-transplant reference. We hypothesised moderate rather than near-perfect discrimination, similar performance across learners of differing complexity, and better discrimination than the Milan criteria. Methods: This secondary analysis included 356 patients with HCC who underwent LT. The primary endpoint was recurrence-free survival, analysed from the observed event indicator and follow-up time rather than from a derived risk label. Seven survival learners were benchmarked with repeated nested cross-validation, using three repeats of a five-fold outer loop with a three-fold inner tuning loop. All data-dependent preprocessing, including robust multivariable outlier handling and imputation, was fitted within training folds only. Performance was assessed by the concordance indices of Harrell and Uno, the time-dependent area under the curve, the integrated Brier score, calibration, decision-curve analysis and descriptive competing-risk assessment. Results: Recurrence developed in 183 of the 356 patients over a median follow-up of 52 months. Discrimination was moderate rather than near-perfect and similar across learners; the random survival forest ranked highest and the Elastic-Net Cox model performed comparably. All learners showed higher descriptive concordance than the Milan criteria, and dependency-corrected comparisons supported higher concordance for the full-feature Cox model than for the Milan criteria, whereas the random survival forest and Cox did not differ materially. Out-of-fold calibration of the Elastic-Net Cox model at 36 months was acceptable, decision-curve analysis indicated positive net benefit across clinically relevant thresholds, and tumour size and alpha-fetoprotein were the leading contributors to prediction. Findings were stable in ablation and threshold-sensitivity analyses. Conclusions: Leakage-free survival modelling gave moderate but internally validated prediction of post-transplant recurrence and higher concordance than the Milan criteria in this cohort, supporting the stated hypotheses. Careful study design may matter more than architectural complexity in this setting, and leakage-free survival analysis is a practical standard for prognostic modelling in transplant oncology. Full article