Clinical and Biological Aspects of Disseminated Tumor Cells and Dormancy in Breast Cancer

Progress in detection and treatment have drastically improved survival for early breast cancer patients. However, distant recurrence causes high mortality and is typically considered incurable. Cancer dissemination occurs via circulating tumor cells (CTCs) and up to 75% of breast cancer patients could harbor micrometastatses at time of diagnosis, while metastatic recurrence often occurs years to decades after treatment. During clinical latency, disseminated tumor cells (DTCs) can enter a state of cell cycle arrest or dormancy at distant sites, and are likely shielded from immune detection and treatment. While this is a challenge, it can also be seen as an outstanding opportunity to target dormant DTCs on time, before their transformation into lethal macrometastatic lesions. Here, we review and discuss progress made in our understanding of DTC and dormancy biology in breast cancer. Strides in our mechanistic insights of these features has led to the identification of possible targeting strategies, yet, their integration into clinical trial design is still uncertain. Incorporating minimally invasive liquid biopsies and rationally designed adjuvant therapies, targeting both proliferating and dormant tumor cells, may help to address current challenges and improve precision cancer care

Integrated Akt/PKB Signaling in Immunomodulation and Its Potential Role in Cancer Immunotherapy

T cell development and maturation involve a variety of defined and coordinated developmental stages under the control of a variety of signaling networks. They function as the major mediator in cell-based immunity that defends against pathogen infections and executes immune surveillance against tumor cells. Protein kinase B (PKB, also called Akt) is central to multiple signaling pathways and transduces extracellular signals to dictate cellular responses towards proliferation, migration, anti-apoptosis, and maintenance of metabolic homeostasis. Although the prosurvival function of PKB was thought to be responsible for most of the functions regulated by PKB, emerging evidence has started to dissect its role in immunomodulation. More importantly, hyperactivation of PKB in cancer stroma frequently occurs in patients treated clinically with targeted cancer therapies, where it acts as a key mediator involved in the trapping of host immune cells in the vicinity of tumors, which supports cancer cell invasion and the escape of cancer cells from host immune surveillance. Encouragingly, recent studies have shown that inhibition of PKB improves the recognition of cancer cells by the host immune system, indicating a potential clinical strategy to rekindle the suppressed host immune response through the specific targeting of PKB. In this review, we explore how PKB signaling contributes to T cell development and cellular immune responses and discuss the mechanistic roles that PKB plays in the creation of immunosuppressive conditions and the escaping of immune recognition in the microenvironment of cance

Improved detection of Rhodococcus coprophilus with a new quantitative PCR assay

Agricultural practices, such as spreading liquid manure or the utilisation of land as animal pastures, can result in faecal contamination of water resources. Rhodococcus coprophilus is used in microbial source tracking to indicate animal faecal contamination in water. Methods previously described for detecting of R. coprophilus in water were neither sensitive nor specific. Therefore, the aim of this study was to design and validate a new quantitative polymerase chain reaction (qPCR) to improve the detection of R. coprophilus in water. The new PCR assay was based on the R. coprophilus 16S rRNA gene. The validation showed that the new approach was specific and sensitive for deoxyribunucleic acid from target host species. Compared with other PCR assays tested in this study, the detection limit of the new qPCR was between 1 and 3 log lower. The method, including a filtration step, was further validated and successfully used in a field investigation in Switzerland. Our work demonstrated that the new detection method is sensitive and robust to detect R. coprophilus in surface and spring water. Compared with PCR assays that are available in the literature or to the culture-dependent method, the new molecular approach improves the detection of R. coprophilu

Structure-based prediction of BRAF mutation classes using machine-learning approaches.

The BRAF kinase is attracting a lot of attention in oncology as alterations of its amino acid sequence can constitutively activate the MAP kinase signaling pathway, potentially contributing to the malignant transformation of the cell but at the same time rendering it sensitive to targeted therapy. Several pathologic BRAF variants were grouped in three different classes (I, II and III) based on their effects on the protein activity and pathway. Discerning the class of a BRAF mutation permits to adapt the treatment proposed to the patient. However, this information is lacking new and experimentally uncharacterized BRAF mutations detected in a patient biopsy. To overcome this issue, we developed a new in silico tool based on machine learning approaches to predict the potential class of a BRAF missense variant. As class I only involves missense mutations of Val600, we focused on the mutations of classes II and III, which are more diverse and challenging to predict. Using a logistic regression model and features including structural information, we were able to predict the classes of known mutations with an accuracy of 90%. This new and fast predictive tool will help oncologists to tackle potential pathogenic BRAF mutations and to propose the most appropriate treatment for their patients

Pre-treatment comorbidities, C-reactive protein and eosinophil count, and immune-related adverse events as predictors of survival with checkpoint inhibition for multiple tumour entities

BACKGROUND The development of immune-related adverse events (irAEs) may be associated with clinical efficacy of checkpoint inhibitors (CPIs) in patients with cancer. We therefore investigated the effect of irAEs and pre-treatment parameters on outcome in a large, real-life patient cohort. METHODS We performed a single-centre, retrospective, observational study including patients who received CPIs from 2011 to 2018 and followed until 2021. The primary outcome was overall survival, and the secondary outcome was the development of irAEs. RESULTS In total, 229 patients with different tumour entities (41% non-small cell lung cancer [NSCLC], 29% melanoma) received a total of 282 CPI treatment courses (ipilimumab, nivolumab, pembrolizumab or atezolizumab). Thirty-four percent of patients developed irAEs (of these 17% had CTCAE Grade ≥3). Factors independently associated with mortality were pre-treatment CRP ≥10 mg/L (hazard ratio [HR] 2.064, p = 0.0003), comorbidity measured by Charlson comorbidity index (HR 1.149, p = 0.014) and irAEs (HR 0.644, p = 0.036) (age-adjusted, n = 216). Baseline eosinophil count ≤0.2 × 10$^{9}$ /L was a further independent predictor of mortality (age-, CRP-, CCI- and irAE-adjusted HR = 2.252, p = 0.002, n = 166). Anti-CTLA-4 use (p < 0.001), and pre-treatment CRP <10 mg/L were independently associated with irAE occurrence (p = 0.037). CONCLUSIONS We found an independent association between irAE occurrence and improved overall survival in a real-life cohort spanning multiple tumour entities and treatment regimens. Pre-treatment comorbidities, CRP and eosinophil count represent potential markers for predicting treatment response

Aktuelle interdisziplinäre Behandlung von Knochenmetastasen

Eine Vielzahl an Krebspatienten entwickelt im Verlauf Knochenmetastasen. Die daraus folgenden Symptome wie Schmerzen, Funktionsverlust sowie neurologische Symptome können rasch zu einem onkologischen oder auch chirurgischen Notfall werden, es besteht in vielen Fällen rascher Handlungsbedarf. Ziel dieser Arbeit ist die Darstellung der aktuellen, evidenzbasierten interdisziplinären Behandlung von Knochenmetastasen. Grundsätzlich ist die interdisziplinäre Zusammenarbeit und die Abstimmung aller Disziplinen der Goldstandard zur optimalen Behandlung ossärer Metastasen