Solid Tumors Research Articles

Proton pump inhibitor attenutes acidic microenvironment to improve the therapeutic effects of MSLN-CAR-T cells on the brain metastasis of solid tumors

Proton pump inhibitor attenutes acidic microenvironment to improve the therapeutic effects of MSLN-CAR-T cells on the brain metastasis of solid tumors

A Phase 1 Study of ABI-009 (Nab-sirolimus) in Combination With Temozolomide and Irinotecan in Pediatric Patients With Recurrent or Refractory Solid Tumors, Including CNS Tumors-A Children's Oncology Group Pediatric Early Phase Clinical Trial Network Study ADVL1514.

Nab-sirolimus (ABI-009, nab-rapamycin; Aadi Bioscience Inc. [Aadi]) is a human albumin-bound form of sirolimus nanoparticles, a potent mTOR inhibitor. This phase I trial was conducted to define dose-limiting toxicities (DLT), maximum tolerated or recommended phase II dose (MTD/RP2D), and pharmacokinetics of Nab-sirolimus in combination with temozolomide and irinotecan. Using a rolling 6 design, Nab-sirolimus was administered intravenously (IV) on days (D) 1 and 8 of cycle (C) 1. In subsequent cycles, Nab-sirolimus was administered D1 and D8 in combination with temozolomide (125 mg/m2/dose, maximum 250 mg/dose) and irinotecan (90 mg/m2/dose) orally, daily on D1-5. Cycle duration was 21 days. Three dose levels (DL) of Nab-sirolimus were investigated (DL1: 35 mg/m2/dose, DL-1: 20 mg/m2/dose, and DL-2: 15 mg/m2/dose). The observation period for estimating the MTD/RP2D was defined by cycles 1 and 2. Thirty-three patients were enrolled, 32 were eligible. Dose determination included 17 evaluable patients, median (range) age 12 (2-20) years and six additional patients were enrolled (four evaluable for toxicity) on a pharmacokinetic cohort. C1 or C2 DLTs were primarily thrombocytopenia including 2/5 patients at DL1, 2/6 patients at DL-1, and 1/6 patients at DL-2. One patient (DL1) with Ewing Sarcoma had a partial response and remained on study for 35 cycles. Rapamycin clearance was dose dependent. Irinotecan clearance and its active metabolite SN-38 exposure were not affected by coadministration with Nab-sirolimus. The MTD for Nab-sirolimus was 15 mg/m2/dose IV on D1 and D8 in combination with temozolomide 125 mg/m2/dose and oral irinotecan 90 mg/m2/dose daily for 5 days during 21D cycles. ClinicalTrials.gov identifier NCT02975882.

Venous thromboembolism incidence and risk factors in patients undergoing hematopoietic stem cell transplantation

BackgroundMalignancy is a well-known risk factor for venous thromboembolism (VTE), and the Khorana risk score is effective for screening solid tumor patients. However, there is a lack of validated screening tools and established risk factors for patients undergoing hematopoietic stem cell transplant (HCT). Current literature reports VTE incidence in HCT patients ranging from 2.5% to 8.5%. Anticoagulation is difficult to manage post-transplant given prolonged thrombocytopenia and the likelihood of bleeding. By identifying risk factors, a predictive model may be developed to prospectively test prophylaxis strategies in patients at the highest thromboembolic event (TE) risk. ObjectivesThis study evaluated the cumulative incidence of TE at 6 months following allogeneic and autologous HCTs. This study also aimed to identify risk factors for developing TE, to evaluate time from HCT to TE, and to compare one-year survival following HCT between patients experiencing TE and those who did not. Study DesignThis is a retrospective single-center study evaluating the incidence of TE events in adult subjects undergoing HCT between March 2014 and December 2019. ICD-9 and ICD-10 codes were used to determine cancer diagnosis, TE events up 180 days after HCT, and comorbidities of interest. Each subject was reviewed for data accuracy by manual retrospective chart review. The study employed statistical tests such as the cumulative incidence method with competing risks, Gray's test, and univariate and multivariate Cox proportional hazards models to analyze the time to first thromboembolic (TE) event, evaluate risk factors, and assess 1-year survival post-HCT in relation to TE events within 180 days of HCT. Variables examined included age, sex, body mass index (BMI), transplant type, hospital length of stay, history of TE prior to transplant, active infections, graft-versus-host disease (GVHD), veno-occlusive disorder (VOD), cytomegaly virus (CMV) and other factors. ResultsThe study included 636 evaluable patients; the majority were male (57.9%), white (68.7%), and underwent an autologous HCT (68.4%). Twenty-nine patients (4.6%) experienced a TE event within 180 days post-transplant. TE events were more common in the allogeneic transplant group (n=13/201, 6.5%) than the autologous transplant group (n=16/435, 3.7%) (p=0.122). The cumulative incidence of TE was higher in patients who developed an active infection than those who did not (7.6% vs 3.1%, P=.011). Hospital LOS [HR 1.03, 95% CI 1.0-1.06, p=0.036] and active infection [HR 2.34, 95% CI 1.1-4.95, p=0.027] were significantly associated with TE in the univariate analysis but were not retained in the final multivariate model. There was no difference in one-year survival among all patients who experienced a TE event and those who did not; however, in the autologous HCT subgroup, one-year survival rate was significantly lower in those with TE compared to those without TE (Figure 3c, 80.4% vs 95.3%, P=.01). Examined variables, including history of TE event and GVHD, were not associated with TE event risk. ConclusionWhile the overall incidence of TE in our study was low, many patients received pharmacologic or mechanical prophylaxis, suggesting such strategies may be effective in mitigating TE risk. Factors such as infection and hospital LOS may further increase TE risk. Providers should continuously monitor for risk factors and signs and symptoms of TE post-transplant. It is also imperative to consider chemical prophylaxis if counts are recovered while hospitalized.

Associations between tertiary lymphoid structure density and immune checkpoint inhibitor efficacy in solid tumors: systematic review and meta-analysis

BackgroundTertiary lymphoid structures (TLS) play a crucial role in tumor immunity, yet their relationship with the efficacy of immune checkpoint inhibitors (ICI) in cancer therapy is not fully understood. This study aims to systematically evaluate how TLS density influences treatment outcomes in cancer patients receiving ICI therapy.MethodsThe PubMed, Embase, Cochrane Library, and Web of Science databases were searched for eligible studies published before January 22, 2024. Our analysis encompassed odds ratios (ORs) for response rates (RRs) and hazard ratios (HRs) for progression-free survival (PFS), each with their respective 95% confidence intervals (CIs).ResultsOur meta-analysis, including 19 clinical trials with 1,752 patients, identified a strong correlation between high TLS density and increased RR to ICIs (OR= 2.99, 95% CI: 2.14-4.18, P < 0.001). Furthermore, a higher TLS density was associated with prolonged PFS (HR=0.75, 95% CI: 0.63-0.88, P < 0.001). Specifically, in the context of non-small cell lung cancer (NSCLC), breast cancer (BC), renal cell carcinoma (RCC), esophageal cancer (EC), and urothelial carcinoma (UC), a significant relationship was observed between high TLS density and better ICI efficacy. Publication bias did not affect the integrity of our conclusions. Sensitivity analysis further reinforced the reliability of our aggregated outcomes.ConclusionOur meta-analysis underscores the predictive role of TLS density in determining the RR and PFS among cancer patients undergoing ICI therapy. These results highlight the prognostic significance of TLS, suggesting its potential as a biomarker for guiding treatment decisions, even in tumor types traditionally considered ICI-resistant. Clinicians are recommended to assess TLS density as a part of patient evaluation to optimize ICI therapy initiation.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42023439875.

Self‐Oxygenated Biomimetic Nanozyme for Tumor Catalytic Immunotherapy

AbstractThe treatment of solid tumors remains a significant challenge due to the complex, immunosuppressive tumor microenvironment (TME). This manuscript introduces the self‐oxygenated biomimetic nanozyme system, SS‐MSN@Au‐BOM, which innovatively combines catalytic therapy with immunotherapy to modulate the TME for enhanced therapeutic efficacy. Employing mesoporous silicon nanoparticles doped with disulfide bonds, the system integrates gold nanozymes that exhibit glucose oxidase (GOx)‐like and peroxidase (POD)‐like activities, along with a catalase (CAT) function derived from bacterial outer membrane (BOM) coatings. SS‐MSN@Au‐BOM significantly disrupted tumor growth by catalyzing endogenous hydrogen peroxide to generate cytotoxic ROS and essential oxygen, enhancing intratumoral ROS levels while alleviating hypoxia. This catalytic action facilitates immunogenic cell death, enhances dendritic cell maturation, and T‐cell activation. Notably, the system shows excellent biocompatibility, effective tumor targeting, and prolonged systemic circulation. SS‐MSN@Au‐BOM offers a dual‐functional approach that effectively disrupts the TME and promotes robust antitumor immunity. This study paves the way for further clinical investigation and the development of enzyme‐based therapeutics, potentially transforming the landscape of cancer treatment.

Oncolytic virus and CAR-T cell therapy in solid tumors

Adoptive immunotherapy with T cells, genetically modified to express a tumor-reactive chimeric antigen receptor (CAR), is an innovative and rapidly developing life-saving treatment for cancer patients without other therapeutic opportunities. CAR-T cell therapy has proven effective only in hematological malignancies. However, although by now only a few clinical trials had promising outcomes, we predict that CAR-T therapy will eventually become an established treatment for several solid tumors. Oncolytic viruses (OVs) can selectively replicate in and kill cancer cells without harming healthy cells. They can stimulate an immune response against the tumor, because OVs potentially stimulate adaptive immunity and innate components of the host immune system. Using CAR-T cells along with oncolytic viruses may enhance the efficacy of CAR-T cell therapy in destroying solid tumors by increasing the tumor penetrance of T cells and reducing the immune suppression by the tumor microenvironment. This review describes recent advances in the design of oncolytic viruses and CAR-T cells while providing an overview of the potential combination of oncolytic virotherapy with CAR-T cells for solid cancers. In this review, we will focus on the host-virus interaction in the tumor microenvironment to reverse local immunosuppression and to develop CAR-T cell effector function.

Characterizing and Targeting of BCL-2 Family Members in Nasopharyngeal Carcinoma.

The success of BH3 mimetics in hematological malignancies has spurred interest in their application in solid tumors. We examined the expression of the BCL-2 family of molecules in NPC tumors and cell lines and explored the anticancer efficacy of BH3 mimetics invitro. Immunohistochemistry for BCL-2, MCL-1, BCL-xL, and transcriptomic analyses was conducted on NPC tumors. The efficacy of ABT-199, S63845, and ABT-737 were examined as monotherapy and in combination with cisplatin in NPC cell lines. RNA sequencing was performed to identify up and downregulated pathways in sensitive cell lines. One hundred and forty-nine EBV-positive NPC and 15 EBV-negative NPC were identified. Expression of BCL-2 was more frequent in EBV-positive NPC. BCL-2, MCL-1, and BCL-xL expression was not prognostic for overall survival. Marked sensitivity was seen with the combination of S63845 and cisplatin in NPC43. Our study demonstrates the therapeutic potential of combining cisplatin and S63845, which warrants further investigation.

Bayesian modeling for analyzing heterogeneous response in preclinical mouse tumor models.

In anticancer research, tumor growth measured in mouse models is important for assessing treatment efficacy for a treatment to progress to human clinical trials. Statistical analysis of time-to-event tumor volume data is complex because of heterogeneity in response and welfare-related data loss. Traditional statistical methods of testing the mean difference between groups are not robust because they assume common responses across a population. Heterogeneity in response is also seen in the clinic, and consequently, the assessment of the treatment considers the diversity through classification of the individual's response using the RECIST (Response Evaluation Criteria in Solid Tumors). To provide a comparable and translatable assessment of in vivo tumor response, we developed a statistical method called INSPECT (IN vivo reSPonsE Classification of Tumors) for analyzing heterogeneous responses through Bayesian modeling. This method can classify individual tumor behaviors into the categories of nonresponder, modest responder, stable responder, and regressing responder. Using both published and simulated data, we show that INSPECT methodology is more accurate and sensitive than existing methods with respect to balancing false-negative and false-positive rates. A case study demonstrates the value of INSPECT in drug projects for supporting the translation of drug efficacy from the preclinical phase into clinical trials. We also provide a package, "INSPECTumours," that launches a web interface to enable users to conduct the analysis and generate reports.

Early integration of palliative care in haemato-oncology: latest developments.

This review aimed to explore recent progress made in the past five years towards early access to, and integration of palliative care services within the haemato-oncology context to address the unique needs of patients with Haematological malignancies (HMs). We included 14 articles in our review. We identified three themes, namely (i) disparities in the timing of referrals remain, (ii) specialist palliative care and impact on quality of life and (iii) perceptions on early integration. Patients with HM, receive less palliative care services, regardless of their higher symptom burden compared to patients with solid tumours. Structured approaches and models of early integration have shown substantial benefits, including improved pain and symptom management, shorter hospital stays and better end of life planning. Perceptions on existing barriers include the curative treatment focus, haematologists' personal perceptions on timing of palliative care and lack of palliative care training. For early integration to happen, it is crucial to address training gaps, improve communication skills, and foster interdisciplinary collaboration. Standardised organisational pathways can facilitate early and concurrent palliative care integration. System-level flexibility and supportive policies are essential to ensure that patients with HM receive comprehensive and high-quality care.

Feasibility, Tolerability, and Preliminary Clinical Response of Fractionated Radiopharmaceutical Therapy with 213Bi-FAPI-46: Pilot Experience in Patients with End-Stage, Progressive Metastatic Tumors.

Radiopharmaceutical therapies (RPTs) based on fibroblast activation protein (FAP) and FAP inhibitors (FAPIs) are a new option for progressive metastatic cancer in patients pretreated multiple times. To date, published in-human data refer to initial experiences with β-emitting 90Y- and 177Lu-based RPT. However, the short tumor retention time of FAPI ligands is considered a major limitation of FAPI RPT. Therefore, fractionated FAPI RPT with 213Bi, an α-emitter with a half-life of 46 min, appears to be a promising FAPI RPT regimen. Here, we report on our initial experiences with regard to the feasibility, tolerability, and response of fractionated 213Bi-FAPI-46 RPT. Methods: Six patients (4 women and 2 men) with progressive metastatic solid tumors (3 colon cancer, 1 anal cancer, 1 breast cancer, and 1 prostate cancer) aged 16-77 y were treated with a mean of 1,609 MBq of 213Bi-FAPI-46, fractionated into 53 single applications (range, 5-12 RPT applications per patient; mean, 8.8 applications) over a period of up to 107 h per patient. Of the 6 patients, 4 patients received adjuvant treatment with pembrolizumab. 18F-FDG (4 patients) and 68Ga-FAPI-46 (5 patients) PET/CT scans were performed before and after RPT. PET images were assessed visually and by calculating total lesion glycolysis and total lesion FAPI. Results: RPT with 213Bi-FAPI-46 was well tolerated without adverse side effects. In terms of visual response assessment, there was 1 partial response (16.7%), 1 patient with stable disease (16.7%), and 4 patients with progressive disease (66.7%). Concordantly, total lesion glycolysis and total lesion FAPI were decreased in the responding patient (not applicable and -24.3%, respectively), slightly decreased in the patient with stable disease (-10.6% and -5.9%, respectively), and increased in the 4 patients with progression (mean, +104.4% and +321.3%, respectively). Conclusion: Fractionated FAPI RPT with the short-half-life α-emitter 213Bi-FAPI-46 is a promising approach that matches the pharmacokinetics of FAPI-46 better than the 177Lu- or 90Y-labeled compounds. In this pilot project, fractionated RPT with 213Bi-FAPI-46 showed good clinical tolerability and even led to regressive or stable disease in the short term in 2 of 6 patients. Further studies with larger patient cohorts are required to evaluate the actual efficacy and long-term effects of this variant of FAPI RPT.

Unveiling Tumorigenesis Mechanisms and Drug Therapy in Neuroblastoma by Mass Spectrometry Based Proteomics

Neuroblastoma (NB) is the most common type of extracranial solid tumors in children. Despite the advancements in treatment strategies over the past years, the overall survival rate in patients within the high-risk NB group remains less than 50%. Therefore, new treatment options are urgently needed for this group of patients. Compared with genomic aberrations, proteomic alterations are more dynamic and complex, as well as more directly related to pathological phenotypes and external perturbations such as environmental changes and drug treatments. This review focuses on specific examples of proteomics application in various fundamental aspects of NB research, including tumorigenesis, drug treatment, drug resistance, and highlights potential protein signatures and related signaling pathways with translational values for clinical practice. Moreover, emerging cutting-edge proteomic techniques, such as single cell and spatial proteomics, as well as mass spectrometry imaging, are discussed for their potentials to probe intratumor heterogeneity of NB.

Adding Metastasis-Directed Therapy to Standard-of-Care Systemic Therapy for Oligometastatic Breast Cancer (EXTEND): a Multicenter, Randomized Phase II Trial

PurposePrior evidence suggests a progression-free survival (PFS) benefit from adding metastasis-directed therapy (MDT) to standard-of-care (SOC) systemic therapy for patients with some oligometastatic solid tumors. Randomized trials testing this hypothesis in breast cancer have yet to be published. We sought to determine whether adding MDT to SOC systemic therapy improves PFS in oligometastatic breast cancer. MethodsEXTEND is a multicenter phase II randomized basket trial testing the addition of MDT to SOC systemic therapy in patients with ≤5 metastases (NCT03599765). Patients were randomized 1:1 to MDT (definitive local treatment to all sites of disease, plus SOC systemic therapy) or to SOC systemic therapy only. Primary endpoint was PFS, and secondary endpoints included overall survival (OS), time to subsequent line of systemic therapy, and time to the appearance of new metastases. Exploratory analyses included quality of life (QOL) and systemic immune response measures. ResultsFrom September 2018 through July 2022, 22 and 21 patients were randomized to the MDT and no-MDT arms, respectively. At a median follow-up of 24.8 months, PFS was not improved with the addition of MDT to SOC systemic therapy (median PFS 15.6 months MDT vs 24.9 months no-MDT [hazard ratio {HR} 0.91; 95% CI 0.34–2.48, p=0.86]). Similarly, MDT did not improve OS, time to subsequent line of systemic therapy, or time to the appearance of new metastases (all p>0.05). No significant differences were found in QOL measures, systemic T-cell activation, or T-cell stimulatory cytokine concentration. ConclusionAmong patients with oligometastatic breast cancer, the addition of MDT to SOC systemic therapy did not improve PFS. These findings suggest that MDT may have no systemic benefit in otherwise unselected oligometastatic breast cancer patients, although this trial was limited by a heterogenous and small sample size and overperformance of both treatment arms.

BTN2A1: A Novel Target to Boost Tumor Killing Capacity of Human γδ T Cells.

γδ T cells have recently raised great interest as effector cells in cancer immunotherapy because of their HLA-independent mode of action and their broad tumor reactivity. To translate the application of γδ T cells into clinically effective immunotherapies, specific tumor targeting and/or boosting of γδ T-cell activation in vivo seem to be a critical step. In this issue, Le Floch and colleagues report a new strategy for enabling γδ T cells to be specifically activated to kill acute lymphoblastic leukemia cells and solid tumor cells using agonistic BTN2A1 antibodies. See related article by Le Floch et al., p. XX .

A Computational Perspective into Binding Mechanism of a potent FAK Inhibitor as Anticancer Drug Candidate: Insights from Molecular Dynamics Simulations

Focal adhesion kinase (FAK) is an important non-receptor tyrosine kinase (nRTK) with crucial role in primary cell functions. Fundamental cellular processes, such as migration, adhesion, proliferation, and survival, are regulated by FAK. The tumorigenesis of FAK is very important since it is overexpressed in advanced cancers, causes malignant features and induces cancer metastasis. The available evidence proposes FAK as a promising target for cancer therapy. At the moment, there are no FAK inhibitors (FAKIs) in the market but several small molecule FAKIs have been developed and a few of them entered into clinical studies as anticancer agents. In spite of these achievements, development of selective and potent FAKIs may be partly hampered by the lack of crystallographic or structural data. This limitation could be resolved through proposing robust ligand–protein binding models to design new FAKIs. GSK2256098 is a small molecule ATP-competitive FAKI that undergoes clinical trials as a monotherapy or in combination with other medications against advanced solid tumors. GSK2256098 have been proven to be a selective and potent agent (IC[Formula: see text] 0.4 nM) with respect to other clinical candidates. With regard to appropriate characteristics, this molecule is particularly amenable for performing computational modeling studies. In this study, we try to propose an applicable binding model of GSK2256098 inside the FAK kinase domain. For this purpose, molecular docking, all-atom 200-ns molecular dynamics simulations and free-energy-calculation methods were applied as consecutive modeling techniques. Atomic insight and dynamic evolution of the system were used to attain a stable binding mode and infer chemical interactions of GSK2256098 inside the kinase domain of FAK. Although complementary investigations need to be conducted, obtained results may offer a structural basis for the development of potent and selective FAKIs.

Somatostatin receptors in pituitary somatotroph adenomas as predictors of response to somatostatin receptor ligands: A pathologist's perspective.

There are five subtypes of somatostatin receptors (SST1-5), which are expressed in several types of solid neoplasms, neuroendocrine tumors, and pituitary adenomas. Most commonly, SST2 and SST5, are of interest regarding diagnostic, treatment, and prognostic purposes. In this article the basic biological characteristics of SST are briefly reviewed, and focus given to the immunohistochemical evaluation of SST2 and SST5 in growth hormone (GH)-secreting pituitary tumors, and their quantification as predictors of response to treatment with somatostatin receptor ligands (SRL), the mainstay of the pharmacological therapy available for these tumors. Although many different scoring systems for SST2 immunohistochemistry showing correlation with SRL response have been reported, among which the immunoreactivity score (IRS) has been the most consistently used, a universally validated immunohistochemical technique and scoring scheme is lacking. Efforts should be made on collaborative multicenter studies aiming at validating homogeneous immunostaining protocols and a scoring system for SST2 and SST5 expression, to help clinicians to define the optimal therapeutic strategy for the patients with somatotroph tumors.

Specific ECM degradation potentiates the antitumor activity of CAR-T cells in solid tumors.

Although major progress has been made in the use of chimeric antigen receptor (CAR)-T-cell therapy for hematological malignancies, this method is ineffective against solid tumors largely because of the limited infiltration, activation and proliferation of CAR-T cells. To overcome this issue, we engineered CAR-T cells with synthetic Notch (synNotch) receptors, which induce local tumor-specific secretion of extracellular matrix (ECM)-degrading enzymes at the tumor site. SynNotch CAR-T cells achieve precise ECM recognition and robustly kill targeted tumors, with synNotch-induced enzyme production enabling the degradation of components of the tumor ECM. In addition, this regulation strongly increased the infiltration of CAR-T cells and the clearance of solid tumors, resulting in tumor regression without toxicity in vivo. Notably, synNotch CAR-T cells also promoted the persistent activation of CAR-T cells in patient-derived tumor organoids. Thus, we constructed a synthetic T-cell system that increases the infiltration and antitumor function of CAR-T cells, providing a strategy for targeting ECM-rich solid tumors.

Emerging Frontiers in Cancer Immunotherapy: Recent Advances in CAR-NK Cell and CAR-Macrophage Therapies

Chimeric antigen receptor (CAR) cell therapies have revolutionized the field of cancer treatment with the breakthrough successes of CAR-T cell therapy in hematological malignancies. However, CAR-T cell efficacy in solid tumors has been limited by challenges such as the immunosuppressive tumor microenvironment (TME) and safety concerns like cytokine release syndrome (CRS) and graft-versus-host disease (GvHD). This review focuses on the latest advancements in CAR-NK cell and CAR-macrophage therapies, which offer potential solutions to these limitations. CAR-NK cells exhibit natural cytotoxicity and MHC-independent tumor targeting, providing a safer profile with lower risks of GvHD and CRS compared to CAR-T cells. Innovations in CAR-NK cell therapy includes structural optimizations, gene editing with CRISPR-Cas9, and the development of multispecific CARs, all contributing to enhanced anti-tumor efficacy, especially in solid tumors. Meanwhile, CAR-macrophages are effective in remodeling the TME through phagocytosis and immune activation, addressing the challenges of solid tumor infiltration. This review compares the mechanisms of action, clinical applications, and safety profiles of CAR-NK cells and CAR-macrophages, highlighting the synergistic potential of these therapies. Although clinical research on both therapies is still in its early stages, the promising preclinical and early clinical trial results underscore their potential as alternative immunotherapies for refractory cancers. Future research will focus on overcoming challenges in production scalability, improving in vivo persistence, and personalizing CAR therapies through precision medicine approaches. These two therapies will likely play pivotal roles in the next generation of cancer immunotherapies.

Recent Advances in Artificial Intelligence to Improve Immunotherapy and the Use of Digital Twins to Identify Prognosis of Patients with Solid Tumors

To date, the public health system has been impacted by the increasing costs of many diagnostic and therapeutic pathways due to limited resources. At the same time, we are constantly seeking to improve these paths through approaches aimed at personalized medicine. To achieve the required levels of diagnostic and therapeutic precision, it is necessary to integrate data from different sources and simulation platforms. Today, artificial intelligence (AI), machine learning (ML), and predictive computer models are more efficient at guiding decisions regarding better therapies and medical procedures. The evolution of these multiparametric and multimodal systems has led to the creation of digital twins (DTs). The goal of our review is to summarize AI applications in discovering new immunotherapies and developing predictive models for more precise immunotherapeutic decision-making. The findings from this literature review highlight that DTs, particularly predictive mathematical models, will be pivotal in advancing healthcare outcomes. Over time, DTs will indeed bring the benefits of diagnostic precision and personalized treatment to a broader spectrum of patients.

Maximising the Synergy of Tumour Tissue and Liquid Biopsy Testing in Oncology Clinical Practice

The symposium took place during the 2024 European Society for Medical Oncology (ESMO) Congress in Barcelona, Spain, with the goal of highlighting the synergy between tissue and liquid biopsy testing in the diagnosis and treatment of solid tumours. Christian Rolfo, Director of the Division of Medical Oncology at The Ohio State University Comprehensive Caner Centre, Columbus, USA, set the stage with a discussion on the state-of-the-art liquid biopsy for solid tumour testing. He was followed by Guilhem Roubaud from the Bergonié Institute in Bordeaux, France, and Federico Cappuzzo from Regina Elena Institute, Rome, Italy, who delved into molecular testing challenges and applications in genitourinary and non-small cell lung cancer (NSCLC), respectively. Practical insights on next-generation sequencing (NGS) implementation was provided by Bence Sipos, TBAG of Molecular Pathology Baden-Württemberg, Germany, with real-world case studies presented by Sara Pilotto, University Hospital, Verona, Italy, and Roubaud. The faculty emphasised the importance of integrating liquid and tissue biopsies to perform tumour molecular profiling, which is crucial for accurate diagnosis and personalised treatment strategies. They also highlighted the critical role of rapid NGS in detecting a wide range of genetic alterations to enhance the precision of diagnosis and access to precision therapies.

Vaccine hesitancy in patients with solid tumors: a cross-sectional single-center survey

BackgroundVaccination rates are still suboptimal in cancer patients. Oncologists play a central role in recommending vaccines to their patients. Our goal was to investigate vaccine acceptance among cancer patients and understand the factors shaping their choices, thereby aiding physicians in better supporting their patients’ vaccination decisions.MethodsWe designed a prospective cross-sectional survey exploring vaccination status, attitudes, and reasons for hesitancy towards vaccinations against the main vaccine preventable diseases (VPDs) among patients undergoing active cancer treatment. The primary endpoint was to evaluate the proportion of vaccinated subjects in our cohort of cancer patients. The secondary endpoints were to assess the proportion of vaccinated subjects against different types of VPDs: flu, COVID-19, pneumococcal disease, Herpes Zoster (HZ).ResultsBetween 12 February and 01 March 2024, a total of three hundred and seventeen patients with cancer were invited to respond to the survey, 309 of whom (97%) agreed to do it. Two hundred seventy-three patients (0.88, 95% confidence interval [CI] 0.84–0.91) had received at least one vaccination. Two hundred thirty-one patients (74.76%) reported that at their first oncology visit their oncologist recommended vaccinations, primarily anti-flu (92.21%) and anti-SARS-CoV-2 (83.55%) vaccinations, while less frequently the anti-pneumococcal (42.42%) and anti-HZ (37%) vaccines were recommended. On the univariate analysis, age over 75 years (p = 0.041), marital status (p = 0.003) and the oncologist’s vaccine recommendation during the first visit (p < 0.001) were significantly associated to vaccine acceptance. At the multivariable analysis, these variables were independently associated with vaccine willingness. Overall in our cancer population, the two main reasons for vaccine hesitancy were the lack of recommendation by the oncologist (55.41%, n = 128) and the lack of awareness of the importance of vaccination in the context of oncological care (49.35%, n = 114).ConclusionsThis survey emphasizes the importance of vaccine counseling by the oncologist to their patients. Oncologists can motivate patients to receive the correct vaccine schedule by addressing doubts and concerns about the potential negative impact of the vaccine on cancer and cancer therapies.