CD19 chimeric antigen receptor (CAR) T cells have demonstrated promising outcomes in B-cell malignancies. However, using pretreated autologous T cells currently faces limitations, including compromised T-cell fitness and the challenge of manufacturing sufficient cell numbers for treatment. Consequently, natural killer (NK) cells have emerged as an alternative due to their natural ability to mediate cytotoxicity and their favorable safety profile. This study aims to generate patient autologous hematopoietic stem cell-derived NK (HSC-NK) cells and assess their therapeutic potential compared to peripheral blood NK (PB-NK) cells. We successfully cultivated HSC-NK under a 28-day, two-step differentiation and expansion protocol, achieving a cumulative 290-fold expansion using optimized memory-like cytokines and feeder cell stimulation. The expanded HSC-NK cells demonstrated a distinct phenotype (CD56⁺CD16^low), representing an immature differentiation state, characterized by a lower expression of inhibitory receptors (NKG2A, KIR2DL, and CD94) and the exhaustion markers (LAG3, PD-1, TIM-3, and CTLA-4) compared to PB-NK cells. Prominent expression of CD62L, alongside sustained expression of CD69 and CD107a, was observed, translating into NK cell proliferation, activation, and cytotoxicity against cancer cells comparable to PB-NK cells. In conclusion, generating HSC-NKs is feasible while preserving essential NK cell phenotypes and activities. Our findings emphasize the potential of HSCs as an alternative NK cell source for cancer immunotherapy.

Cancer-associated cachexia (CAC) is a complex metabolic syndrome characterised by progressive skeletal muscle loss, systemic inflammation, reduced treatment tolerance, and poor survival. Marked interindividual variability in CAC susceptibility suggests that host genetic factors may contribute to its development. Vitamin D plays an important role in muscle metabolism and inflammatory control through activation of the vitamin D receptor (VDR). VDR signalling influences myogenesis, mitochondrial function, insulin-like growth factor pathways, and pro-inflammatory cytokine expression, all of which are implicated in CAC pathogenesis. Hence, VDR variants, including the rs731236 (A>G) polymorphism, which modifies receptor activity, may affect CAC pathogenesis. Thus, this study investigated the association between the polymorphism and susceptibility to CAC as well as patient survival in a cohort of 140 adult cancer patients. Briefly, the rs731236 GG genotype was significantly associated with a lower prevalence of CAC across disease diagnostic approaches (chi-square tests, p < 0.05). Furthermore, GG genotype carriers demonstrated significantly improved survival compared with carriers of AA/AG genotypes (Log-rank and Tarone-Ware tests, p < 0.05). In summary, these findings suggest that the rs731236 polymorphism influences both susceptibility to CAC and survival outcomes in patients with cancer, further supporting a clinically relevant role for vitamin D signalling in supportive oncology care.

HCT116 is a colorectal cancer cell line frequently used in anti-tumor drug development experiments as well as in studies of the molecular machinery of eukaryotic cells. It is well characterized by the presence of several single-nucleotide and short mutations in multiple oncogenes and tumor suppressor genes, including KRAS, PIK3CA, MLH1, CTNNB1, CDKN2A, TGFBR2, and BRCA2. However, its landscape of large genomic rearrangements (LGRs) and copy number variants (CNVs) is still far from being fully understood. Therefore, the aim of this study was to identify LGRs and CNVs in several HCT116 cell line samples using Oxford Nanopore sequencing technology, including three samples from the SRA NCBI database, and to compare common and unique variants across all samples. Using the recently developed eLaRodON tool, we identified 22,666 common LGRs, among which more than 70% of tandem duplications and deletions larger than 80 kb were confirmed by CNV analysis. Among LGRs affecting protein-coding sequences, two in-frame rearrangements were identified: a deletion of exons 4-6 and a duplication of exon 10 in the CCSER1 gene, which encodes a cell division regulator protein. Given its high rearrangement rate in various tumors and the clinical significance of its overexpression, this finding may be potentially useful in future research on this cell line. Regarding differences between samples, we found that LGRs in the laboratory sample and in one of the three SRA NCBI samples occurred more frequently via ALR/Alpha repeats than via Alu repeats, in contrast to common LGRs and those unique to the other samples, a finding that may indicate the presence of unique mechanisms of genomic instability. Thus, this study reveals a broad spectrum of large genomic rearrangements and copy number variants that can be identified in the HCT116 cell line using Oxford Nanopore sequencing, including rearrangements specific to distinct cell line samples.

Radiation therapy is a fundamental pillar in cancer treatment, yet its clinical efficacy is frequently compromised by the development of intrinsic and acquired tumor radioresistance. This review provides a comprehensive analysis of the molecular mechanisms underlying radioresistance, with a specific focus on the Epithelial-Mesenchymal Transition (EMT) and its regulation by microRNAs (miRNAs). EMT is recognized as a key driver of therapeutic resistance, enabling cancer cells to acquire enhanced migratory capacity, stem-like characteristics, and resistance to apoptosis. Importantly, ionizing radiation can itself function as a cellular stressor that induces EMT through major signaling pathways, including TGF-β, Wnt, and Notch, thereby establishing a self-reinforcing loop that promotes resistance. In addition, this review highlights the pivotal role of miRNAs as post-transcriptional regulators within this network. Dysregulated miRNAs, acting as either tumor suppressors or oncogenes, modulate EMT-transcription factors and DNA damage repair pathways to influence cellular radiosensitivity. The complex interplay between these factors and the tumor microenvironment is also explored. Finally, emerging therapeutic strategies designed to break this resistance loop, such as EMT inhibitors, miRNA mimics, and antagomirs, as well as combination therapies, are evaluated. Collectively, these approaches hold significant promise for restoring radiosensitivity and improving clinical outcomes in precision oncology.

Despite advances in precision medicine, therapeutic options for pancreatic adenocarcinomas are limited, alongside a significant increase in incidence and mortality in recent years. We present the case of an exceptional response to immunotherapy in a heavily pre-treated pancreatic adenocarcinoma. The patient is a 73-year-old man that was diagnosed in 2017 with locally advanced pancreatic adenocarcinoma. He underwent different lines of chemotherapy and after exhausting standard treatment options, he practiced the FoundationOne^® CDx analysis (Foundation Medicine, Inc., Cambridge, MA, USA), that pointed out a High Tumor mutational burden that permitted our Oncology Center to request Pembrolizumab 200mg flat dose q 21 as an off-label therapy. The patient started the treatment in July 2021 and is still ongoing, having achieved a complete radiological response of hepatic metastases. Although immunotherapy is not part of the standard treatment paradigm for advanced pancreatic cancer, our case suggests that it may provide substantial and durable clinical benefit in a small molecularly selected subgroup of patients who have exhausted conventional therapeutic options, highlighting the critical role of comprehensive molecular profiling in identifying actionable treatment opportunities.

Medulloblastoma is a heterogeneous solid tumor, and its molecular characteristics are the most important prognostic factors for this neoplasm. Unfortunately, the molecular classification of MB-G3 and MB-G-4 medulloblastoma is very complex because of molecular similarity. Therefore, in this work, through unsupervised machine learning-based gene expression profiling, we identified a low molecular profile associated with four molecular groups of medulloblastoma. We performed medulloblastoma expression microarray data mining via the Partek Genomics Suite and Transcriptome Analysis Console (TAC), and we included a total of 25 fresh medulloblastoma tumors that were obtained and hybridized into HG U133 Plus 2.0 Array microarrays. To identify the molecular groups of the 25 patients, we compared them against classified patients, which were obtained from free repositories, and through data mining based on gene expression, compared the expression profiles of our patients. To do so, we performed an analysis via the least squares method via PCA. The molecular groups MB-WNT and MB-SHH were confirmed via immunohistochemistry via β-catenin, YAP1 and GAB1 antibodies in tissue fixed in formalin and embedded in paraffin, and another tissue section was placed on a Visium Spatial slide to perform spatial RNA-seq via Illumina NextSeq 2000 platform sequencers. The data obtained were analyzed with R. We identified the expression profiles associated with the four molecular groups and formed a reference set. Through unsupervised analysis via the least squares method, we assigned the molecular profiles of 25 patients with medulloblastoma, via the integration of bulk and spatial tumor molecular gene expression profiling analysis and with immunohistochemical findings, this strategy was fast and accurate. We observed correlations in three of the trials carried out and, in part, in one study, a patient who presented two tumor strains and two molecular signatures (SHH and G4), which led us to believe that this patient presented mixed phenotypic characteristics. Multigene expression profile analysis of medulloblastoma represents a significant advance in precision medicine; integrating different layers of transcriptomic information allows us to demonstrate underlying molecular changes in the four molecular groups that are essential for personalized therapy.

Nectin-4 has emerged as a clinically relevant target in muscle-invasive bladder cancer (MIBC), primarily because of its role in antibody-drug conjugate-based therapies. However, the broader biological context of Nectin-4 expression and its association with tumor-promoting signaling pathways in MIBC remain insufficiently characterized. In this single-institution study, Nectin-4 expression (H-score 0-300) was assessed by immunohistochemistry in two independent MIBC cohorts. Associations between Nectin-4 expression and key markers related to growth signaling, metabolic regulation, and inflammation were analyzed alongside clinicopathological characteristics. Nectin-4 expression was significantly higher in malignant tissue than in non-malignant tissue (p = 0.0016 and p = 0.0302, respectively). Nectin-4 expression was not associated with demographic or clinicopathological parameters; however, a trend toward lower expression in more advanced disease stages was observed. Significant positive correlations were identified between Nectin-4 expression and protein kinase B (p = 0.0004), cytoplasmic (p = 0.0115) and membranous somatostatin receptor 2 (p = 0.0125), insulin receptor substrate 1 (p = 0.03), and interleukin-1 receptor antagonist (IL-1RA; p = 0.0045). In contrast, a negative correlation was observed with the IL-1β/IL-1RA ratio (p = 0.0246). Although Nectin-4 expression was not significantly associated with cancer-specific or overall survival, a trend toward shorter relapse-free survival was observed in patients with lower Nectin-4 expression (p = 0.0531). In multivariate analysis, patient age, but not Nectin-4 expression, emerged as an independent prognostic factor. Although Nectin-4 expression does not appear to have independent prognostic value, its biological associations suggest that it reflects an integrated tumor-related signaling context. These findings support further investigation of Nectin-4 as part of rational, biology-driven therapeutic strategies in bladder cancer.

Lactoferrin (LF)-derived peptides (LDPs) are short cationic and amphipathic fragments generated primarily from the N-terminal lobe of LF through pepsin-mediated proteolytic processes. The best-characterized LDPs include lactoferricin (LFcin), lactoferrampin (LFampin), and LF1-11. In addition to these native peptides, a growing range of engineered LDPs has been developed by modifying the LFcin-derived RRWQWR motif through the incorporation of non-natural amino acids, cyclization, multimerization, and conjugation with chemotherapeutic agents. LDPs have garnered significant interest as potential anticancer peptides due to their ability to preferentially engage with the surfaces of malignant cells and initiate various tumor-suppressive mechanisms. This review article provides an overview of the principal classes of LDPs and elucidates how structural features influence membrane interaction, selectivity, intracellular targeting, apoptotic pathways, and immune modulation. It also discusses current mechanistic insights and examines the major challenges and opportunities for translating innovative LDPs into clinically useful cancer therapeutics.

Secreted frizzled-related protein 4 (sFRP4) has traditionally been regarded as a Wnt antagonist with tumor-suppressive properties. However, growing evidence indicates that its role in cancer is far more complex and highly context-dependent. Depending on tumor type, molecular subtype, epigenetic state, and microenvironmental conditions, sFRP4 may exert either inhibitory or tumor-promoting effects. This functional heterogeneity has important implications for understanding cancer biology and for evaluating the clinical relevance of sFRP4. In this review, we summarize current knowledge of the structural features, regulatory mechanisms, and signaling functions of sFRP4, and discuss how these factors shape its diverse roles across malignancies. We further examine its potential significance in diagnosis, prognosis, therapeutic stratification, and systemic metabolic regulation. A clearer understanding of the context-specific behavior of sFRP4 may help refine its value as a biomarker and support the development of more precise and mechanism-informed therapeutic strategies.

Hepatocellular carcinoma (HCC) is a lethal malignancy requiring novel therapeutic interventions. While Polyporus umbellatus exhibits anti-tumor properties, its specific bioactive pharmacophores and molecular mechanisms remain elusive. This study integrated network pharmacology, computational simulation, and experimental validation to decipher the anti-HCC efficacy of Polyporus umbellatus. Screening identified 11 bioactive sterols, with intersection analysis revealing 63 core targets. Clinical data stratified Checkpoint Kinase 1 (CHEK1) as a critical high-risk oncogene associated with poor prognosis. Molecular dynamics simulations (100 ns) demonstrated that polyporusterone E, a key constituent, forms a thermodynamically stable complex with CHEK1 via high-affinity hydrogen bonding. In vitro assays in HepG2 and HuH-7 cells confirmed that CHEK1 overexpression drives proliferation and metastasis, while its silencing reverses these phenotypes. Crucially, treatment with Polyporus umbellatus extract and purified polyporusterone E significantly compromised HCC cell viability and downregulated CHEK1 expression at transcriptional and translational levels. These findings suggest that polyporusterone E may downregulate CHEK1 expression and modulate CHEK1-associated signaling in HCC cells, providing preliminary evidence for the molecular basis of Polyporus umbellatus and highlighting its potential as a complementary therapeutic strategy for HCC management.