Combination therapy for mCRPC with immune checkpoint inhibitors, ADT and vaccine: A mathematical model

Metastatic castration resistant prostate cancer (mCRPC) is commonly treated by androgen deprivation therapy (ADT) in combination with chemotherapy. Immune therapy by checkpoint inhibitors, has become a powerful new tool in the treatment of melanoma and lung cancer, and it is currently being used in clinical trials in other cancers, including mCRPC. However, so far, clinical trials with PD-1 and CTLA-4 inhibitors have been disappointing. In the present paper we develop a mathematical model to assess the efficacy of any combination of ADT with cancer vaccine, PD-1 inhibitor, and CTLA-4 inhibitor. The model is represented by a system of partial differential equations (PDEs) for cells, cytokines and drugs whose density/concentration evolves in time within the tumor. Efficacy of treatment is determined by the reduction in tumor volume at the endpoint of treatment. In mice experiments with ADT and various combinations of PD-1 and CTLA-4 inhibitors, tumor volume at day 30 was always larger than the initial tumor. Our model, however, shows that we can decrease tumor volume with large enough dose; for example, with 10 fold increase in the dose of anti-PD-1, initial tumor volume will decrease by 60%. Although the treatment with ADT in combination with PD-1 inhibitor or CTLA-4 inhibitor has been disappointing in clinical trials, our simulations suggest that, disregarding negative effects, combinations of ADT with checkpoint inhibitors can be effective in reducing tumor volume if larger doses are used. This points to the need for determining the optimal combination and amounts of dose for individual patients.

Imaging the Rewired Metabolism in Lung Cancer in Relation to Immune Therapy

Metabolic reprogramming is recognized as one of the hallmarks of cancer. Alterations in the micro-environmental metabolic characteristics are recognized as important tools for cancer cells to interact with the resident and infiltrating T-cells within this tumor microenvironment. Cancer-induced metabolic changes in the micro-environment also affect treatment outcomes. In particular, immune therapy efficacy might be blunted because of somatic mutation-driven metabolic determinants of lung cancer such as acidity and oxygenation status. Based on these observations, new onco-immunological treatment strategies increasingly include drugs that interfere with metabolic pathways that consequently affect the composition of the lung cancer tumor microenvironment (TME). Positron emission tomography (PET) imaging has developed a wide array of tracers targeting metabolic pathways, originally intended to improve cancer detection and staging. Paralleling the developments in understanding metabolic reprogramming in cancer cells, as well as its effects on stromal, immune, and endothelial cells, a wave of studies with additional imaging tracers has been published. These tracers are yet underexploited in the perspective of immune therapy. In this review, we provide an overview of currently available PET tracers for clinical studies and discuss their potential roles in the development of effective immune therapeutic strategies, with a focus on lung cancer. We report on ongoing efforts that include PET/CT to understand the outcomes of interactions between cancer cells and T-cells in the lung cancer microenvironment, and we identify areas of research which are yet unchartered. Thereby, we aim to provide a starting point for molecular imaging driven studies to understand and exploit metabolic features of lung cancer to optimize immune therapy.

Transcriptomic Analysis of Breast Cancer Patients Sensitive and Resistant to Chemotherapy: Looking for Overall Survival and Drug Resistance Biomarkers

Worldwide breast cancer ranks first in mortality and incidence rates in women over 20 years old. Rather than one disease, breast cancer is a heterogeneous group of diseases that express distinct molecular profiles. Neoadjuvant chemotherapy is an important therapeutic strategy for breast cancer patients independently of their molecular subtype, with the drawback of resistance development. In addition, chemotherapy has adverse effects that combined with resistance could contribute to lower overall survival. Although great efforts have been made to find diagnostic and prognostic biomarkers for breast cancer and for response to targeted and immune therapy for this pathology, little has been explored regarding biomarkers of response to anthracyclines and taxanes based neoadjuvant chemotherapy. This work aimed to evaluate the molecular profile of patients who received neoadjuvant chemotherapy to identify differentially expressed genes (DEGs) that could be used as biomarkers of chemotherapy response and overall survival. Breast cancer patients who were candidates for neoadjuvant chemotherapy were enrolled in this study. After treatment and according to their pathological response, they were assigned as sensitive or resistant. To evaluate DEGs, Gene Ontology, Kyoto Encyclopedia Gene and Genome (KEGG), and protein–protein interactions, RNA-seq information from all patients was obtained by next-generation sequencing. A total of 1985 DEGs were found, and KEGG analysis indicated a great number of DEGs in metabolic pathways, pathways in cancer, cytokine–cytokine receptor interactions, and neuroactive ligand-receptor interactions. A selection of 73 DEGs was used further for an analysis of overall survival using the METABRIC study and the ductal carcinoma dataset of The Cancer Genome Atlas (TCGA) database. Nine DEGs correlated with overall survival, of which the subexpression of C1QTNF3, CTF1, OLFML3, PLA2R1, PODN, KRT15, HLA-A, and the overexpression of TUBB and TCP1 were found in resistant patients and related to patients with lower overall survival.

Liquid Biopsy – Possibilities for Monitoring the Therapeutic Response in Non-Small Cell Lung Cancer

Lung cancer is the leading cause of death from malignancy worldwide. Its heterogeneity and tumour biology make treatment considerably more difficult. The introduction of target molecules heralded the beginning of the personalized medicine which tailors medical treatments to the molecular and genetic profile of a patient. Liquid biopsy is an innovative, non-invasive method which is used both for diagnostic purposes and for therapeutic monitoring. Liquid biopsy has the potential to help manage non-small cell lung cancer throughout all stages of this cancer: screening, detection of minimal residual disease to guide adjuvant treatment, early detection of relapse, systemic treatment initiation, monitoring of response to targeted or immune therapy, and the emergence of resistance to applied treatment. At present, the study of circulating tumour DNA is used in clinical practice, but circulating tumour cells, miRNAs, exosomes, and platelets formed in the tumour also show promising results.

“PROBE”ing the Role of Cytoreductive Nephrectomy in Advanced Renal Cancer

The Southwest Oncology Group (SWOG)1931 trial, also known as PROBE (ClinicalTrials.gov Identifier: NCT04510597) is a phase III study evaluating the role of cytoreductive nephrectomy (CN) in metastatic renal cell cancer (RCC). Kidney cancer presenting with synchronous metastases has demonstrated shorter survival outcome compared to the patients relapsing with metastases after nephrectomy. Previously, CN has been associated with survival improvement when interferon-based systemic therapy was used. In the setting of antivascular therapy sunitinib, a prospective randomized clinical trial demonstrated no benefit of CN. Immune checkpoint-based combination therapy has now become the standard-of-care in the frontline setting for RCC. The role of nephrectomy or primary resection has not been evaluated in the setting of immune checkpoint-based systemic therapy. The sequence and optimal timing of nephrectomy is also not established. The PROBE study design attempts to answer the question whether CN has an impact on overall survival outcomes in RCC within the context of immune checkpoint-based combination regimens. The study requires starting with systemic therapy; any one of the FDA approved immunotherapy-based regimens at the time the study was activated are permitted. The disease status and response are evaluated at 9–12 weeks of therapy and then consented patients are randomized 1:1 to receive CN or to continue systemic therapy. The patients who have rapid disease progression are considered ineligible for randomization as they need a switch in systemic therapy. Both groups should continue systemic therapy as long as they are tolerating the treatment and continuing to derive clinical benefit. Quality-of-life, tumor genomic testing, microbiome, radiomics and circulating tumor DNA assessments as predictive biomarkers are planned as study correlatives. The study hypothesis is that CN will improved OS in synchronous metastatic RCC when surgery is performed after starting systemic immune checkpoint-based combination therapy. A potential mechanism leading to improved survival is the broader antigen spread and higher neoantigen load enabled by the primary tumor enhancing the efficacy of the immune therapy. CN after initial systemic therapy would help select the patient subset most likely to benefit and will potentially enable eradication of immune resistant clones within the primary tumor.

Exogenous and Endogenous Dendritic Cell-Derived Exosomes: Lessons Learned for Immunotherapy and Disease Pathogenesis

Immune therapeutic exosomes, derived exogenously from dendritic cells (DCs), the ‘directors’ of the immune response, are receiving favorable safety and tolerance profiles in phase I and II clinical trials for a growing number of inflammatory and neoplastic diseases. DC-derived exosomes (EXO), the focus of this review, can be custom tailored with immunoregulatory or immunostimulatory molecules for specific immune cell targeting. Moreover, the relative stability, small size and rapid uptake of EXO by recipient immune cells offer intriguing options for therapeutic purposes. This necessitates an in-depth understanding of mechanisms of EXO biogenesis, uptake and routing by recipient immune cells, as well as their in vivo biodistribution. Against this backdrop is recognition of endogenous exosomes, secreted by all cells, the molecular content of which is reflective of the metabolic state of these cells. In this regard, exosome biogenesis and secretion is regulated by cell stressors of chronic inflammation and tumorigenesis, including dysbiotic microbes, reactive oxygen species and DNA damage. Such cell stressors can promote premature senescence in young cells through the senescence associated secretory phenotype (SASP). Pathological exosomes of the SASP amplify inflammatory signaling in stressed cells in an autocrine fashion or promote inflammatory signaling to normal neighboring cells in paracrine, without the requirement of cell-to-cell contact. In summary, we review relevant lessons learned from the use of exogenous DC exosomes for immune therapy, as well as the pathogenic potential of endogenous DC exosomes.

KMT2C is Potential Prognostic Biomarker and its Immune Regulating Roles in Pan-Cancer: A Comprehensive Analysis

Background: A member of histone lysine methyltransferases subfamily, The histone 3 lysine 4 (H3K4) monomethylase KMT2C, has mutations across many cancer types. However, the role of KMT2C in different cancers and its correlation with tumor infiltration and immune therapy indicators remain unknown.Method: Expression and mutation information of KMT2C has been analyzed through the Genotype-Tissue Expression (GTEx), The Cancer Genome Atlas (TCGA) Cancer Cell Line Encyclopedia (CCLE) and International Cancer Genome Consortium (ICGC) database in our study. Prognostic value of KMT2C was evaluated via univariate survival analysisand expression detection in different cancer cells. Result: Survival analysis showed that high expression of KMT2C in some cancer type may be a indication of better outcome, while in other cancer like UVM, patient with high expression of KMT2C suffered from early recurrence. Further, we found there is a strongly link between KMT2C expression and immune cells infiltration, mutation indicators through analysising in the Tumor Immune Evaluation Resource (TIMER) database. Conclusion: The bioinformatics analysis here deliver us a message that KMT2C might be a good molecular biomarker for prognostic and therapeutic evaluation in specific cancer types.

HIV-1 co-infection increases relapse rate and shortens survival in patients with visceral leishmaniasis

Patients co-infected with visceral leishmaniasis (VL) and HIV-1 (VL/HIV patients) suffer from recurrent VL relapses and increased mortality. The aim of our study was to test the hypothesis that HIV patients who present with their first episode of VL (primary VL/HIV patients) experience less relapses and lower mortality as compared to VL/HIV patients who have a previous history of VL relapses (recurrent VL/HIV patients). Our results show that primary VL/HIV patients have a lower parasite load and that their relapse-free survival is significantly longer. Relapses in both groups of patients occur independently of HIV viral load. Our clinical and immunological analyses of these patients at the time of diagnosis and during follow-up show that the poorer prognosis of recurrent VL/HIV patients is accompanied by lower weight gain and lower recovery of all blood cell lineages, as well as lower production of antigen-specific IFN-gamma, lower CD4+ T cell counts and higher expression levels of the inhibitory receptor PD1 on CD4+ and CD8+ T cells. We propose that in addition to the current treatments, novel interventions should be considered at the time of VL diagnosis in VL/HIV patients and suggest that improved anti-leishmanial and antiretroviral treatments, as well as immune therapy, through PD1/PDL-1 blockade and/or through IFN-gamma administration, could result in more efficient parasite killing and thereby reduce the relapse rate and improve survival.