Breast cancer (BC) is the most common cancer in women, with incidence rates increasing globally in recent years. Therefore, it is important to find new molecules with prognostic and therapeutic value to improve therapeutic response and quality of life. The polyunsaturated fatty acids (PUFAs) metabolic pathway participates in various physiological processes, as well as in the development of malignancies. Although aberrancies in the PUFAs metabolic pathway have been implicated in carcinogenesis, the functional and clinical relevance of this pathway has not been well explored in BC. To evaluate the clinical significance of soluble epoxide hydrolase (EPHX2) expression in Mexican patients with BC using tissue microarrays (TMAs) and digital pathology (DP). Immunohistochemical analyses were performed on 11 TMAs with 267 BC samples to quantify this enzyme. Using DP, EPHX2 protein expression was evaluated solely in tumor areas. The association of EPHX2 with overall survival (OS) was detected through bioinformatic analysis in public databases and confirmed in our cohort via Cox regression analysis. Clear nuclear expression of EPHX2 was identified. Receiver operating characteristics (ROC) curves revealed the optimal cutoff point at 2.847062 × 10⁻³ pixels, with sensitivity of 69.2% and specificity of 67%. Stratification based on this cutoff value showed elevated EPHX2 expression in multiple clinicopathological features, including older age and nuclear grade, human epidermal growth factor receptor 2 (HER2) and triple negative breast cancer (TNBC) subtypes, and recurrence. Kaplan–Meier curves demonstrated how higher nuclear expression of EPHX2 predicts shorter OS. Consistently, multivariate analysis confirmed EPHX2 as an independent predictor of OS, with a hazard ratio (HR) of 3.483 and a 95% confidence interval of 1.804–6.724 (p < 0.001). Our study demonstrates for the first time that nuclear overexpression of EPHX2 is a predictor of poor prognosis in BC patients. The DP approach was instrumental in identifying this significant association. Our study provides valuable insights into the potential clinical utility of EPHX2 as a prognostic biomarker and therapeutic target in BC.

Yin Yang 1 (YY1) is a multifunctional transcription factor implicated in gene regulation, cell proliferation, and survival. While its role in breast cancer (BC) has been explored, its prognostic significance remains controversial. In this study, we evaluated nuclear YY1 expression in 276 BC tissue samples using immunohistochemistry (IHC), tissue microarrays (TMAs), and digital pathology (DP). Nuclear staining was quantified using Aperio ImageScope software, focusing on tumor regions to avoid confounding from stromal or non-tumor tissues. This selective and standardized approach enabled precise quantification of YY1 expression. Our results show elevated median YY1 expression in tumor vs. normal matched tissues (p < 0.001). The optimal cutoff for medium-intensity nuclear YY1 expression in tumor areas for overall survival (OS) was established by a receiver operating characteristic (ROC) curve (AUC = 0.718, 95% CI: 0.587–0.849, p = 0.008). In contrast, ROC curves showed no prognostic impact (AUC and p-value) for YY1 quantification in whole spots (tumor + normal). As a categorical variable, high YY1 expression was correlated with more aggressive BC features, including tumor size > 3 cm (57.7% vs. 44.2% p = 0.037), the triple-negative breast cancer (TNBC) molecular subtype (27.3% vs. 13.9% p = 0.026), and advanced prognostic stage (III) (31.8% vs. 16.7% p = 0.003), while as a continuous variable, YY1 was associated with higher histological (p = 0.003) and nuclear grades (p = 0.022). High YY1 expression was significantly associated with a reduced OS of BC patients, as shown by Kaplan–Meier curves (HR = 2.227, p = 0.002). Since YY1 was significantly enriched in TNBC, we evaluated its prognostic resolution in this subgroup. But, probably due to the small number of patients within this subset, our results were not statistically significant (HR = 1.317, 95% CI: 0.510–3.405, p = 0.566). Next, we performed multivariate Cox regression, confirming YY1 as an independent prognostic factor for overall survival (HR = 1.927, 95% CI: 1.144–3.247, p = 0.014). In order to improve prognostic value, we constructed a mathematical model derived from the multivariate Cox regression results, including YYI, AJCC prognostic stage (STA), and axillary lymph node dissection (ALN), with the following equation: h(t) = h₀(t) × exp (0.695 × YY1 + 1.103 × STA − 0.503 × ALN). ROC analysis of this model showed a better AUC of 0.915, similar sensitivity (83.3%), and much higher specificity (92%). Bioinformatic analysis of public datasets supported these findings in BC, showing YY1 overexpression in multiple cancer types and its association with poor outcomes in BC. These results suggest that YY1 may play a role in tumor progression and serve as a valuable prognostic biomarker in BC. DP combined with molecular data enhanced biomarker accuracy, supporting clinical applications of YY1 in routine diagnostics and personalized therapy. Additionally, developing a combined score based on the modeling of multiple prognostic factors significantly enhanced survival predictions, representing a practical tool for risk stratification and the guidance of therapeutic decisions.

Background: Diets high in fat and carbohydrates, like fructose, trigger colon inflammation, increase intestinal permeability, and drive dysbiosis. However, the effects of obesogenic diets on gut microbiota, including Clostridium and Bacteroides, remain unknown. Understanding how these diets damage the colon is critical. Methods: Using a controlled preclinical obesity model, we compared the effects over time of High-Fat Diet (HFD), High-Fructose Diet (HFrD), and their combination (HFHFrD). Diet-induced dysbiosis was assessed at 4 and 8 weeks via qPCR using primers specific to bacterial phyla and species. In addition, intestinal inflammation, atrophy, and mucin production were evaluated by digital pathology after 8 weeks of diet exposure. Results: both HFrD and HFHFrD mice exhibited marked intestinal inflammation, atrophy, and damage, alongside altered production of neutral and mixed mucins. HFD-fed mice displayed a 15-fold surge in Clostridium/Bacteroides ratio at 4 weeks. At 8 weeks, HFrD-fed mice showed a striking 10-fold rise in microbial relative abundance compared to the other diets. Both HFrD and HFHFrD triggered an early increase in Bacteroides species, but significance emerged only at 8 weeks. Conclusions: Although all obesogenic diets induced inflammation, atrophy, epithelial damage, and altered mucin patterns, HFrD and HFHFrD caused pronounced disruptions to barrier function and dysbiosis. Critically, HFD consistently raised the Firmicutes/Bacteroidetes ratio at 4 and 8 weeks, while the Clostridium/Bacteroides ratio spiked only at 4 weeks. Obesogenic diets fundamentally shifted microbial load and diversity. Therefore, bacterial ratios, such as Clostridium/Bacteroides, may signal dysbiosis and tissue damage from obesogenic diets, but further research is required for confirmation.

TGF-β is a central mediator of pulmonary allergic inflammation recently associated with lung metastasis of osteosarcoma. Given the controversial links between cancer and allergic diseases, this study aimed to evaluate the effects of allergic airway inflammation—particularly TGF-β—on osteosarcoma lung metastasis using a comorbidity mouse model. Osteosarcoma cells were implanted in BALB/c mice with induced allergic airway inflammation. Lung metastasis was quantified, while PCNA/TGF-β expression was assessed by immunohistochemistry and digital pathology. Bioinformatic analyses of patient datasets compared TGF-β and PCNA expression in metastatic vs. normal tissues, and their association with survival. Mice with allergic inflammation showed increased lung metastases associated with TGF-β production. In patient samples, both TGF-β and PCNA were upregulated in metastatic tissues and correlated with poor overall survival. PCNA was also linked to genes involved in cell proliferation, DNA replication, and repair. Our results show an association between allergic airway inflammation and extensive lung metastasis of osteosarcoma in a comorbidity mouse model with elevated expression of TGF-β and PCNA.