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Background: Recent studies have highlighted the importance of the cell-free DNA (cfDNA) methylation profile in detecting breast cancer (BC) and its different subtypes. We investigated whether plasma cfDNA methylation, using cell-free Methylated DNA Immunoprecipitation and High-Throughput Sequencing (cfMeDIP-seq), may be informative in characterizing breast cancer in patients with BRCA1/2 germline mutations for early cancer detection and response to therapy., Methods: We enrolled 23 BC patients with germline mutation of BRCA1 and BRCA2 genes, 19 healthy controls without BRCA1/2 mutation, and two healthy individuals who carried BRCA1/2 mutations. Blood samples were collected for all study subjects at the diagnosis, and plasma was isolated by centrifugation. Cell-free DNA was extracted from 1 mL of plasma, and cfMeDIP-seq was performed for each sample. Shallow whole genome sequencing was performed on the immuno-precipitated samples. Then, the differentially methylated 300-bp regions (DMRs) between 25 BRCA germline mutation carriers and 19 non-carriers were identified. DMRs were compared with tumor-specific regions from public datasets to perform an unbiased analysis. Finally, two statistical classifiers were trained based on the GLMnet and random forest model to evaluate if the identified DMRs could discriminate BRCA-positive from healthy samples., Results: We identified 7,095 hypermethylated and 212 hypomethylated regions in 25 BRCA germline mutation carriers compared to 19 controls. These regions discriminate tumors from healthy samples with high accuracy and sensitivity. We show that the circulating tumor DNA of BRCA1/2 mutant breast cancers is characterized by the hypomethylation of genes involved in DNA repair and cell cycle. We uncovered the TFs associated with these DRMs and identified that proteins of the Erythroblast Transformation Specific (ETS) family are particularly active in the hypermethylated regions. Finally, we assessed that these regions could discriminate between BRCA positives from healthy samples with an AUC of 0.95, a sensitivity of 88%, and a specificity of 94.74%., Conclusions: Our study emphasizes the importance of tumor cell-derived DNA methylation in BC, reporting a different methylation profile between patients carrying mutations in BRCA1, BRCA2, and wild-type controls. Our minimally invasive approach could allow early cancer diagnosis, assessment of minimal residual disease, and monitoring of response to therapy., (© 2024. The Author(s).)

Background: While the efficacy of neoadjuvant chemotherapy (NACT) in treating triple-negative breast cancer (TNBC) is generally accepted, not all patients derive benefit from this preoperative treatment. Presently, there are no validated biomarkers to predict the NACT response, and previous attempts to develop predictive classifiers based on gene expression data have not demonstrated clinical utility. However, predictive models incorporating biological constraints have shown increased robustness and improved performance compared to agnostic classifiers., Methods: We used the preoperative transcriptomic profiles from 298 patients with TNBC to train and test a rank-based classifier, k-top scoring pairs, to predict whether the patient will have pathological complete response (pCR) or residual disease (RD) following NACT. To reduce overfitting and enhance the signature's interpretability, we constrained the training process to genes involved in the Notch signaling pathway. Subsequently, we evaluated the signature performance on two independent cohorts with 75 and 71 patients. Finally, we assessed the prognostic value of the signature by examining its association with relapse-free survival (RFS) using Kaplan‒Meier (KM) survival estimates and a multivariate Cox proportional hazards model., Results: The final signature consists of five gene pairs, whose relative ordering can be predictive of the NACT response. The signature has a robust performance at predicting pCR in TNBC patients with an area under the ROC curve (AUC) of 0.76 and 0.85 in the first and second testing cohorts, respectively, outperforming other gene signatures developed for the same purpose. Additionally, the signature was significantly associated with RFS in an independent TNBC patient cohort even after adjusting for T stage, patient age at the time of diagnosis, type of breast surgery, and menopausal status., Conclusion: We introduce a robust gene signature to predict pathological complete response (pCR) in patients with TNBC. This signature applies easily interpretable, rank-based decision rules to genes regulated by the Notch signaling pathway, a known determinant in breast cancer chemoresistance. The robust predictive and prognostic performance of the signature make it a strong candidate for clinical implementation, aiding in the stratification of TNBC patients undergoing NACT., (© 2023. The Author(s).)

Background: Metastatic castration-resistant prostate cancer remains a challenging condition to treat. Among the available therapeutic options, the androgen receptor signaling inhibitors abiraterone acetate plus prednisone (AA) and enzalutamide (Enza), are currently the most used first-line therapies in clinical practice. However, validated clinical indicators of prognosis in this setting are still lacking. In this study, we aimed to evaluate a prognostic model based on the time of metastatic disease presentation (after prior local therapy [PLT] or de-novo [DN]) and disease burden (low volume [LV] or high-volume [HV]) at AA/Enza onset for mCRPC patients receiving either AA or Enza as first-line., Methods: A cohort of consecutive patients who started AA or Enza as first-line treatment for mCRPC between January 1st, 2015, and April 1st, 2019 was identified from the clinical and electronic registries of the 9 American and European participating centers. Patients were classified into 4 cohorts by the time of metastatic disease presentation (PLT or DN) and volume of disease (LV or HV; per the E3805 trial, HV was defined as the presence of visceral metastases and/or at least 4 bone metastases of which at least 1 out the axial/pelvic skeleton) at AA/Enza onset. The endpoint was overall survival defined as the time from AA or Enza initiation, respectively, to death from any cause or censored at the last follow-up visit, whichever occurred first., Results: Of the 417 eligible patients identified, 157 (37.6%) had LV/PLT, 87 (20.9%) LV/DN, 64 (15.3%) HV/PLT, and 109 (26.1%) HV/DN. LV cohorts showed improved median overall survival (59.0 months; 95% CI, 51.0-66.9 months) vs. HV cohorts (27.5 months; 95% CI, 22.8-32.2 months; P = 0.0001), regardless of the time of metastatic presentation. In multivariate analysis, HV cohorts were confirmed associated with worse prognosis compared to those with LV (HV/PLT, HR = 1.87; p = 0.029; HV/DN, HR = 2.19; P = 0.002)., Conclusion: Our analysis suggests that the volume of disease could be a prognostic factor for patients starting AA or Enza as first-line treatment for metastatic castration-resistant prostate cancer, pending prospective clinical trial validation., (© 2023. The Author(s).)

Background: PN is a secreted cell adhesion protein critical for carcinogenesis. In breast cancer, it is overexpressed compared to normal breast, and a few reports suggest that it has a potential role as a prognostic marker., Methods: Tumour samples obtained at the time of mastectomy from 200 women followed for a median time of 18.7 years (range 0.5-29.5 years) were investigated through IHC with a polyclonal anti-PN antibody using tissue microarrays. Epithelial and stromal PN expression were scored independently according to the percentage of coloured cells; the 60th percentile of PN epithelial expression, corresponding to 1%, and the median value of PN stromal expression, corresponding to 90%, were used as arbitrary cut-offs. The relationships between epithelial and stromal PN expression and clinical-pathological features, tumour phenotype and the risk of mortality following surgery were analysed. Appropriate statistics, including the Fine and Gray competing risk proportional hazard regression model, were used., Results: The expression of PN in tumour epithelial cells was significantly lower than that which was observed in stromal cells (p < 0.000). No specific association between epithelial or stromal PN expression and any of the clinical-pathological parameters analysed was found as it was observed in respect to mortality when these variables were analysed individually. However, when both variables were considered as a function of the other one, the expression of PN in the stromal cells maintained a statistically significant predictive value with respect to both all causes and cancer-specific mortality only in the presence of high epithelial expression levels. No significant differences in either all causes or BCa-specific mortality rates were shown according to epithelial expression for tumours displaying higher stromal PN expression rates. However, the trends were opposite for the higher stromal values and the patients with high epithelial expression levels denoted the group with the worst prognosis, while higher epithelial values in patients with lower stromal expression levels denoted the group with the best prognosis, suggesting that PN epithelial/stromal interactions play a crucial role in breast carcinogenesis, most likely due to functional cross-talk between the two compartments. On the basis of PN expression in both compartments, we defined 4 subgroups of patients with different mortality rates with the group of patients characterized by positive epithelial and low stromal PN expression cells showing the lowest mortality risk as opposed to the groups of patients identified by a high PN expression in both cell compartments or those identified by a low or absent PN expression in both cell compartments showing the worst mortality rates. The differences were highly statistically significant and were also retained after multiparametric analysis. Competing risk analysis demonstrated that PN expression patterns characterizing each of previous groups are specifically associated with cancer-specific mortality., Conclusions: Although they require further validation through larger studies, our findings suggest that the patterns of expression of PN in both compartments can allow for the development of IHC "signatures" that maintain a strong independent predictive value of both all causes and, namely, of cancer-specific mortality.

Background: Pelvic lymph nodes removed during radical retropubic prostatectomy for prostatic cancer can be found on pathological examination to harbor various unexpected pathologies. Among these, hematologic neoplasms are not infrequent. Given their frequently indolent clinical course, such neoplasms would likely have remained undiagnosed and non-life threatening. Despite this, the case we are reporting describes a rare association between two aggressive neoplasms, and it will be helpful to clinicians who encounter similar combinations of pathologies., Case Presentation: We report the challenging case of a 56-year-old, caucasian man in whom pathological assessment of pelvic lymph nodes removed during radical retropubic prostatectomy for a high-grade prostatic neoplasm revealed Hodgkin lymphoma, which was subsequently classified as stage IV. There are very few published reports of this combination of pathologies. This situation required a cautious and expert approach to delivering the most appropriate treatment with the most appropriate timing for both diseases., Conclusion: This report describes the multidisciplinary clinical approach we followed at our institution. We have also presented a review of published reports concerning the incidence, histologic type, and management of such concurrent malignancies.

Background: The purpose of the present study was to evaluate the prognostic value of POSTN expression following prostatectomy., Methods: Periostin (POSTN) expression in prostate cancer (PCa) and in normal specimens was evaluated in 90 patients by an immuno-reactive score(IRS) based on the intensity of immunostaining and on the quantity of stained cells. The t-test was applied to compare IRS values in cancer specimens to values in normal specimens. Pearson's test was used to correlate POSTN expression to clinical pathologic features. PSA progression-free and survival curves were constructed by the Kaplan-Meier method and compared using the log-rank test. Multi-parametric models were constructed according to the Cox technique adding all the covariates predicting for either PSA progression or death into the models after univariate analysis., Results: Both stromal and epithelial POSTN expression were significantly increased in tumor tissues. In particular, we found stromal expression to be significantly higher than epithelial expression as compared to normal tissues (p<0.000 and p=0.001).A significant correlation between POSTN epithelial expression and extra-prostatic extension was found (p=0.03). While high stromal expression was significantly associated with shorter survival (p=0.008), a low epithelial score significantly correlated with shorter PSA-free survival (p=0.04), suggesting that POSTN plays an apparently opposing biological role depending on its compartmentalization.Regardless of the mechanism that is involved, patients showing both high stromal and low epithelial expression made up a subgroup with a very bleak prognosis., Conclusions: Although requiring further validation through larger studies, our findings show that POSTN might represent a novel prognostic marker for PCa.