We present herein a case report style article on a rare advanced triple-negative breast cancer (TNBC) patient with 6-month disease-free interval, and 10-month overall survival. Our results demonstrate that the poor clinical outcome of this patient was associated with pronounced, more than fivefold higher, overexpression of both cFOS and TGF-β1 proteins in its metastatic nodal tissue extracts, when compared with the values of the two non-TNBC controls (with ‘zero’ disease-free interval and overall survival). This original observation suggests, for the first time, that both the cFOS and TGF-β1 may be considered as a pair of biomarkers for an early assessment of poor prognosis for TNBC patients. The possible clinical implication of this observation is discussed.

Multiple studies have demonstrated that the conjugation of various metal cores to a modified tamoxifen vector amplifies its antitumor activity, rendering such engineered structures effective even in triple-negative breast cancer (TNBC), a tumor subtype traditionally considered irrelevant for endocrine therapy. With a focus on TNBC cell line, this study shows that hybrids with Pd- and Cu- in comparison to Pt-based counterparts exerted an advanced cytotoxic profile in terms of sustained cytotoxicity throughout all tested periods, well synchronized with an intensive and prolonged oxidative burst measured by 4-amino-5-methylamino-2′,7′-difluorofluorescein diacetate (DAF-FM), dihydroethidium (DHE), and dihydrorhodamine 123 (DHR-123) in the background. Translation to the orthotopic syngeneic mouse in vivo model confirmed their superiority toward Pt-based conjugates, as well as tamoxifen alone, with a more profound tumor-reducing potential of Cu-tamoxifen, which was finally restricted by its toxicity. Surprisingly, the tamoxifen vector per se, with an approx. 2-fold lower cytotoxic potential than Pt- and Cu-hybrids in vitro, showed exceptional tumor-reducing potential in vivo, profiled in the last days of the treatment period. Intensive infiltration of immune cells, preferentially lymphocytes, was observed in tumor samples from animals exposed to the tamoxifen vector, underscoring the ligand’s immune potential and again suggesting that cytotoxicity is not a measure of successful treatment.

Breast cancer is the most frequent and lethal type of cancer that affects women worldwide. Triple-negative breast cancer (TNBC) is the most aggressive type of breast cancer, having high rate of recurrence, metastasis, and mortality, with very limited options for treatment, and a tendency to develop resistance to conventional therapy. These circumstances mean that it is necessary to develop effective therapies for TNBC patients which would circumvent resistance mechanisms. The PAM and Wnt signaling pathways are among those responsible for therapy resistance in TNBC, as they also have major roles in different cellular processes such as metabolism, proliferation, metastasis, stemness, and survival. We analysed the expression of GSK3β and S6K1 as interacting components of the two pathways in order to examine the relation between them and determine whether they could be used as predictive markers in TNBC. The expression of mRNA was examined with real-time PCR and protein expression with immunohistochemistry. Our results showed that protein expression is in line with mRNA expression. We found a positive correlation between the mRNA expressions of GSK3β and S6K1, showing their coordinated transcription. We also showed that their simultaneous low expression is unfavorable for TNBC patients and could possibly be used as a predictive marker.

Glial brain tumours, including astrocytoma IDH (Isocitrate Dehydrogenase) mutant and glioblastoma IDH wild-type, are highly malignant brain tumours with poor clinical outcomes. Genomic instability, encompassing microsatellite (MIN) and chromosomal instability (CIN), drives tumour heterogeneity and evolution. In this study, genomic instability was analysed in 85 patients using AP-PCR (Arbitrarily Primed Polymerase Chain Reaction) by comparing tumour and normal tissue (blood) DNA profiles of the same patient. Both types of alterations were present in all analysed samples, contributing almost equally to the total level of genomic instability. The dominant pattern of genomic instability in our cohort was low overall instability, predominantly manifesting as low-degree microsatellite instability. A general decrease in genomic instability was observed with increasing tumour grade. Glioblastoma IDH wild-type was more prevalent in older patients, whereas astrocytoma IDH mutant predominated in younger individuals. Notably, low genomic instability (both MIN and CIN) was associated with poorer survival in patients over 50 years of age. Females, compared to males, exhibited higher MIN in grade 2 tumours and elevated CIN in grade 4 tumours. Our results confirm that genomic instability contributes to tumour progression, MIN being the pivotal factor, and could serve as a prognostic biomarker in malignant gliomas.

Malignant gliomas are the most common primary tumors of the central nervous system (CNS), originating from glial cells. They account for 30% of all CNS tumors. Among them, glioblastoma (GBM) is the most common, accounting for 45% of all glial tumors, while low-grade gliomas (LGGs) account for 31.8% of all gliomas. The aim of this study was to analyze the protein-expression profile of HTR4 and PDE4D genes in patients with glioma by immunohistochemical (IHC) analysis, to determine whether some interrelationship between them exists, to correlate their expression with clinical and histopathological parameters and therapy, and to determine their impact on patients’ survival. In addition, we analyzed the level of genomic instability (GI) (microsatellite (MIN), chromosomal (CIN) and total GI) by AP-PCR, in order to understand whether it can represent a tool for biological stratification of glioma tumors and risk assessment. Our results revealed that synchronized expression of 5-HTR4 and PDE4D proteins represents a stable modulatory signaling axis of glial-tumor biology, and reflects the activity of cAMP signaling pathway, but cannot independently stratify patients. Moreover, our study confirms that the combination of MIN, CIN and total GI represents a powerful tool for biological tumor stratification, risk assessment and understanding the pathobiological spectrum of the disease.