Predicting microenvironment in CXCR4- and FAP-positive solid tumors - a pan-cancer machine learning workflow for theranostic target structures

Simple Summary Imaging based on positron emission tomography (PET) is a crucial part of up-to-date cancer care. For this purpose, PET employs and marks target structures at the cellular surface. Recently, C-X-C Motif Chemokine Receptor 4 (CXCR4) and Fibroblast Activation Protein Alpha (FAP) emerged as clinically relevant PET targets. However, it is unclear whether high levels of CXCR4 and FAP represent distinct cancer states—especially in solid tumors. Therefore, we established a machine learning model based on 9242 samples from 29 different cancer entities. Our analysis revealed that—in most solid tumors—high levels of CXCR4 were associated with immune cells infiltrating these tumors. Instead, FAP-positive tumors were characterized by high amounts of tumor vessels. Our machine learning approach potentially can identify the Achilles’ heel of tumors in a non-invasive manner—by performing PET without having to obtain tumor tissue beforehand. Abstract (1) Background: C-X-C Motif Chemokine Receptor 4 (CXCR4) and Fibroblast Activation Protein Alpha (FAP) are promising theranostic targets. However, it is unclear whether CXCR4 and FAP positivity mark distinct microenvironments, especially in solid tumors. (2) Methods: Using Random Forest (RF) analysis, we searched for entity-independent mRNA and microRNA signatures related to CXCR4 and FAP overexpression in our pan-cancer cohort from The Cancer Genome Atlas (TCGA) database—representing n = 9242 specimens from 29 tumor entities. CXCR4- and FAP-positive samples were assessed via StringDB cluster analysis, EnrichR, Metascape, and Gene Set Enrichment Analysis (GSEA). Findings were validated via correlation analyses in n = 1541 tumor samples. TIMER2.0 analyzed the association of CXCR4 / FAP expression and infiltration levels of immune-related cells. (3) Results: We identified entity-independent CXCR4 and FAP gene signatures representative for the majority of solid cancers. While CXCR4 positivity marked an immune-related microenvironment, FAP overexpression highlighted an angiogenesis-associated niche. TIMER2.0 analysis confirmed characteristic infiltration levels of CD8+ cells for CXCR4-positive tumors and endothelial cells for FAP-positive tumors. (4) Conclusions: CXCR4- and FAP-directed PET imaging could provide a non-invasive decision aid for entity-agnostic treatment of microenvironment in solid malignancies. Moreover, this machine learning workflow can easily be transferred towards other theranostic targets

Ricerca di base nello sviluppo di isatuximab e il suo impiego per il trattamento dei pazienti con mieloma multiplo recidivato/refrattario

The CD38 molecule has become a target for antibody-mediated therapy of Multiple Myeloma (MM), providing favorable clinical results and manageable patient toxicity. There are currently two anti-CD38 antibodies available in Italy. This note is aimed at examining the characteristics of isatuximab (Isa), against the backdrop of accumulated evidence concerning the CD38 target. The results of pre-clinical studies are described and assessed in a translational perspective. Comparative analysis of these results is necessary because of the variety of functions attributed to CD38. The results obtained indicate that the molecule is an appropriate target, and that the antibody acts through the cooperation with effector leukocyte cells. The interaction with receptors for the Fc portion of the therapeutic molecule is then evaluated for increasing the half-life of Isa. CD38 is also an ectoenzyme, which metabolizes extracellular NAD+ and production of cADPR and ADPR. Isa was the only antibody inhibiting CD38 enzymatic activities. Evaluation of the antibody's mechanism of action leaves multiple unanswered questions. It is to be expected that the results from in vivo experience with Isa may shed light on some of them. Preclinical studies have shown that Isa activity is significantly enhanced when combined with immunomodulators, particularly pomalidomide (IsaPd). Indeed, the pomalidomide based combination can overcome lenalidomide (Len) resistance. Preclinical and clinical results supported the investigation of Isa as a monotherapy and in combination with IMiDs in clinical studies. Indeed, the clinical efficacy provided by the association of IsaPd hold the potential to challenge an unmet medical need represented by the Len previous exposure or refractoriness. Nowadays, if the patient is fit enough, a triplet-based approach seems more reasonable than a doublet one. Nevertheless, within the subgroup of Len exposed patients the mPFS is still unsatisfactory. Thus, given that frontline Len would represent a growing option the question regarding the relapse setting after those regimen warrants further improvements. ICARIA-MM is the first randomized phase 3 trial adding a CD38 antibody to Pd backbone. Remarkably, the patients' characteristics comprised subjects with renal insufficiency, approximately one third of the patients had three median lines of therapy, and most subjects was Len refractory. Benefit of anti-CD38 Isa addition was statistically and clinically significant, irrespectively from glomerular filtration rate, cytogenetic risk, Len refractoriness

Determinants of COVID-19 disease severity – lessons from primary and secondary immune disorders including cancer

At the beginning of the COVID-19 pandemic, patients with primary and secondary immune disorders — including patients suffering from cancer — were generally regarded as a high-risk population in terms of COVID-19 disease severity and mortality. By now, scientific evidence indicates that there is substantial heterogeneity regarding the vulnerability towards COVID-19 in patients with immune disorders. In this review, we aimed to summarize the current knowledge about the effect of coexistent immune disorders on COVID-19 disease severity and vaccination response. In this context, we also regarded cancer as a secondary immune disorder. While patients with hematological malignancies displayed lower seroconversion rates after vaccination in some studies, a majority of cancer patients’ risk factors for severe COVID-19 disease were either inherent (such as metastatic or progressive disease) or comparable to the general population (age, male gender and comorbidities such as kidney or liver disease). A deeper understanding is needed to better define patient subgroups at a higher risk for severe COVID-19 disease courses. At the same time, immune disorders as functional disease models offer further insights into the role of specific immune cells and cytokines when orchestrating the immune response towards SARS-CoV-2 infection. Longitudinal serological studies are urgently needed to determine the extent and the duration of SARS-CoV-2 immunity in the general population, as well as immune-compromised and oncological patients

Subcutaneous immunoglobulins in patients with multiple myeloma and secondary hypogammaglobulinemia: a randomized trial

Multiple myeloma is commonly associated with a reduction of non-paraprotein immunoglobulins, resulting in a higher risk of infections that represent the leading cause of the patients’ death. Therefore, immunoglobulin replacement therapy appears a logical approach. A total number of 46 myeloma patients were randomly enrolled: 24 of them were assigned to receive subcutaneous immunoglobulins, and 22 were controls. The primary endpoint was the evaluation of the annual rate of severe infections in immunoglobulins-receiving patients as compared with those untreated. Subcutaneous immunoglobulins-treated patients showed a significantly lower number of severe infections per year. Adverse events were limited to the site of infusion and were easily manageable. Health-related quality of life was significantly better in subcutaneous immunoglobulins-receiving patients. By decreasing the rate of infections, the prophylactic administration of SCIg improves both adherence to chemotherapy and health-related quality of life, and is cost-effective by reducing the need of hospitalization and the use of antibiotics

Aplastic Anemia as a Roadmap for Bone Marrow Failure: An Overview and a Clinical Workflow

In recent years, it has become increasingly apparent that bone marrow (BM) failures and myeloid malignancy predisposition syndromes are characterized by a wide phenotypic spectrum and that these diseases must be considered in the differential diagnosis of children and adults with unexplained hematopoiesis defects. Clinically, hypocellular BM failure still represents a challenge in pathobiology-guided treatment. There are three fundamental topics that emerged from our review of the existing data. An exogenous stressor, an immune defect, and a constitutional genetic defect fuel a vicious cycle of hematopoietic stem cells, immune niches, and stroma compartments. A wide phenotypic spectrum exists for inherited and acquired BM failures and predispositions to myeloid malignancies. In order to effectively manage patients, it is crucial to establish the right diagnosis. New theragnostic windows can be revealed by exploring BM failure pathomechanisms

Suspected Pericardial Tuberculosis Revealed as an Amyloid Pericardial Mass

Primary systemic amyloidosis is not easily diagnosed. The immunoglobulin deposits are usually localized in the kidney, heart, and liver. We describe an unusual case of a patient suffering from a pericardial amyloidoma with internal calcifications and air bubbles that compressed the right ventricle and shifted the heart to the left. Since the patient was in shock, urgent pericardiotomy was performed. This site showed PET uptake. A monoclonal component was present. On these findings, differential diagnoses included multiple myeloma and atypical pericardial tuberculosis, whereas a periumbilical fat tissue biopsy demonstrated amyloidosis. A previous Salmonella species infection had most likely stimulated the production of amyloid. The patient received bortezomib/dexamethasone treatment and achieved a good response

Exploration of artificial intelligence use with ARIES in multiple myeloma research

Background: Natural language processing (NLP) is a powerful tool supporting the generation of Real-World Evidence (RWE). There is no NLP system that enables the extensive querying of parameters specific to multiple myeloma (MM) out of unstructured medical reports. We therefore created a MM-specific ontology to accelerate the information extraction (IE) out of unstructured text. Methods: Our MM ontology consists of extensive MM-specific and hierarchically structured attributes and values. We implemented “A Rule-based Information Extraction System” (ARIES) that uses this ontology. We evaluated ARIES on 200 randomly selected medical reports of patients diagnosed with MM. Results: Our system achieved a high F1-Score of 0.92 on the evaluation dataset with a precision of 0.87 and recall of 0.98. Conclusions: Our rule-based IE system enables the comprehensive querying of medical reports. The IE accelerates the extraction of data and enables clinicians to faster generate RWE on hematological issues. RWE helps clinicians to make decisions in an evidence-based manner. Our tool easily accelerates the integration of research evidence into everyday clinical practice

Immune Checkpoint Inhibitor-Related Myositis: From Biology to Bedside

: Immune checkpoint inhibitor (ICI)-related inflammatory diseases, including polymyositis (PM) and dermatomyositis (DM), in patients suffering from neoplastic disorders represent a medical challenge. The treatment of these conditions has taken on new urgency due to the successful and broad development of cancer-directed immunological-based therapeutic strategies. While primary and secondary PM/DM phenotypes have been pathophysiologically characterized, a rational, stepwise approach to the treatment of patients with ICI-related disease is lacking. In the absence of high-quality evidence to guide clinical judgment, the available data must be critically assessed. In this literature review, we examine partially neglected immunological and clinical findings to obtain insights into the biological profiles of ICI-related PM/DM and potential treatment options. We show that differential diagnosis is essential to stratifying patients according to prognosis and therapeutic impact. Finally, we provide a comprehensive assessment of druggable targets and suggest a stepwise patient-oriented approach for the treatment of ICI-related PM/DM

Breaking through Multiple Myeloma: A Paradigm for a Comprehensive Tumor Ecosystem Targeting

Multiple myeloma (MM) is a cancerous condition characterized by the proliferation of plasma cells within the hematopoietic marrow, resulting in multiple osteolytic lesions. MM patients typically experience bone pain, kidney damage, fatigue due to anemia, and infections. Historically, MM was an incurable disease with a life expectancy of around three years after diagnosis. However, over the past two decades, the development of novel therapeutics has significantly improved patient outcomes, including response to treatment, remission duration, quality of life, and overall survival. These advancements include thalidomide and its derivatives, lenalidomide and pomalidomide, which exhibit diverse mechanisms of action against the plasma cell clone. Additionally, proteasome inhibitors such as bortezomib, ixazomib, and carfilzomib disrupt protein degradation, proving specifically toxic to cancerous plasma cells. Recent advancements also involve monoclonal antibodies targeting surface antigens, such as elotuzumab (anti-CS1) and daratumumab (anti-CD38), bispecific t-cell engagers such as teclistamab (anti-BCMA/CD3) and Chimeric antigen receptor T (CAR-T)-based strategies, with a growing focus on drugs that exhibit increasingly targeted action against neoplastic plasma cells and relevant effects on the tumor microenvironment