Reports of mammary Paget\'s disease (MPD) as a manifestation of breast cancer recurrence are rare. MPD presents a particular challenge when emerging more than two decades after a breast cancer treated with evidence-based therapy. There is a broad spectrum of non-malignant causes for dermatitis of the nipple during the initial presentation that may delay cancer work-up. This case highlights the MPD work-up and management in the context of a personal history of breast cancer. This unique clinical presentation emphasizes the importance of vigilant cancer surveillance for timely intervention, especially for a presumed cured cancer.

OBJECTIVE: This study aimed to determine whether the 21-Gene Breast Recurrence Score® assay from primary breast tissue predicts the prognosis of patients with hormone receptor-positive and human epidermal growth factor 2-negative advanced breast cancers (ABCs) treated with fulvestrant monotherapy (Group A) and the addition of palbociclib combined with fulvestrant (Group B), which included those who had progression in Group A from the Japan Breast Cancer Research Group-M07 (FUTURE trial).
METHODS: Progression-free survival (PFS) and overall survival (OS) were compared using the log-rank test and Cox regression analysis based on original recurrence score (RS) categories (Low: 0-17, Intermediate: 18-30, High: 31-100) by treatment groups (A and B) and types of ABCs (recurrence and de novo stage IV).
RESULTS: In total, 102 patients [Low: n = 44 (43.1%), Intermediate: n = 38 (37.5%), High: n = 20 (19.6%)] in Group A, and 45 in Group B, who had progression in Group A were analyzed. The median follow-up time was 23.8 months for Group A and 8.9 months for Group B. Multivariate analysis in Group A showed that low-risk [hazard ratio (HR) 0.15, 95% confidence interval (CI) 0.04-0.53, P = 0.003] and intermediate-risk (HR 0.22, 95% CI 0.06-0.78) with de novo stage IV breast cancer were significantly associated with better prognosis compared to high-risk. However, no significant difference was observed among patients with recurrence. No prognostic significance was observed in Group B.
CONCLUSIONS: We found a distinct prognostic value of the 21-Gene Breast Recurrence Score® assay by the types of ABCs and a poor prognostic value of the high RS for patients with de novo stage IV BC treated with fulvestrant monotherapy. Further validations of these findings are required.

BACKGROUND: Early menarche is an established risk factor for breast cancer but its molecular contribution to tumor biology and prognosis remains unclear.
METHODS: We profiled transcriptome-wide gene expression in breast tumors (N = 846) and tumor-adjacent normal tissues (N = 666) from women in the Nurses\' Health Studies (NHS) to investigate whether early menarche (age < 12) is associated with tumor molecular and prognostic features in women with breast cancer. Multivariable linear regression and pathway analyses using competitive gene set enrichment analysis were conducted in both tumor and adjacent-normal tissue and externally validated in TCGA (N = 116). Subgroup analyses stratified on ER-status based on the tumor were also performed. PAM50 signatures were used for tumor molecular subtyping and to generate proliferation and risk of recurrence scores. We created a gene expression score using LASSO regression to capture early menarche based on 28 genes from FDR-significant pathways in breast tumor tissue in NHS and tested its association with 10-year disease-free survival in both NHS (N = 836) and METABRIC (N = 952).
RESULTS: Early menarche was significantly associated with 369 individual genes in adjacent-normal tissues implicated in extracellular matrix, cell adhesion, and invasion (FDR ≤ 0.1). Early menarche was associated with upregulation of cancer hallmark pathways (18 significant pathways in tumor, 23 in tumor-adjacent normal, FDR ≤ 0.1) related to proliferation (e.g. Myc, PI3K/AKT/mTOR, cell cycle), oxidative stress (e.g. oxidative phosphorylation, unfolded protein response), and inflammation (e.g. pro-inflammatory cytokines IFN α and IFN γ ). Replication in TCGA confirmed these trends. Early menarche was associated with significantly higher PAM50 proliferation scores (β = 0.082 [0.02-0.14]), odds of aggressive molecular tumor subtypes (basal-like, OR = 1.84 [1.18-2.85] and HER2-enriched, OR = 2.32 [1.46-3.69]), and PAM50 risk of recurrence score (β = 4.81 [1.71-7.92]). Our NHS-derived early menarche gene expression signature was significantly associated with worse 10-year disease-free survival in METABRIC (N = 952, HR = 1.58 [1.10-2.25]).
CONCLUSIONS: Early menarche is associated with more aggressive molecular tumor characteristics and its gene expression signature within tumors is associated with worse 10-year disease-free survival among women with breast cancer. As the age of onset of menarche continues to decline, understanding its relationship to breast tumor characteristics and prognosis may lead to novel secondary prevention strategies.

Breast cancer, when advancing to a metastatic stage, involves the liver, impacting over 50% of cases and significantly diminishing survival rates. Presently, a lack of tailored therapeutic protocols for breast cancer liver metastasis (BCLM) underscores the need for a deeper understanding of molecular patterns governing this complication. Therefore, by analyzing differentially expressed genes (DEGs) between primary breast tumors and BCLM lesions, we aimed to shed light on the diversities of this process. This research investigated breast cancer liver metastasis relapse by employing a comprehensive approach that integrated data filtering, gene ontology and KEGG pathway analysis, overall survival analysis, identification of the alteration in the DEGs, visualization of the protein-protein interaction network, Signor 2.0, identification of positively correlated genes, immune cell infiltration analysis, genetic alternation analysis, copy number variant analysis, gene-to-mRNA interaction, transcription factor analysis, molecular docking, and identification of potential treatment targets. This study\'s integrative approach unveiled metabolic reprogramming, suggesting altered PCK1 and LPL expression as key in breast cancer metastasis recurrence.

Biomimetic nanoparticles represent a promising avenue for mitigating rapid clearance by the reticuloendothelial system (RES); however, current challenges include insufficient tumour targeting, suboptimal adhesion, and inadequate localized drug release within tumour regions. These shortcomings contribute to persistent contests, such as recurrence and pulmonary metastasis, even with advanced breast cancer therapies. Stimuli-sensitive drug release can furbish the membrane coated nanoparticles for their efficiency against the stated problems. To enhance the efficacy of biomimetic nanoparticles in addressing these issues, we proposed a versatile, stimuli-responsive drug delivery system by encapsulating doxorubicin (Dox) and perfluorohexane (PFH) within poly (lactic-co-glycolic acid) (PLGA) nanoparticles, subsequently coated with macrophage-derived cell membranes. Within this framework, PFH serves as the mediator for ultrasonic (US)-irradiation-triggered drug release specifically within tumour microenvironment, while the macrophage-derived cell membrane coating enhances cell adhesion, enables immune evasion, and natural tumour-homing ability. The characterization assays and in vitro evaluations yielded encouraging results, indicating enhanced targeting and release efficiencies. In vivo studies demonstrated marked inhibitory effects on both breast cancer recurrence and pulmonary metastasis. The resulting data indicate that these engineered nanoparticles have notable potential for targeted delivery and controlled release upon US irradiation, thereby offering significant therapeutic efficacy against primary breast cancer, pulmonary metastasis, and recurrent malignancies. Our findings lay the groundwork for a novel clinical approach, representing an intriguing direction for ongoing investigation by oncologists.

BACKGROUND: Retrospective observational studies suggest a potential role of beta-blockers as a protective strategy against progression and metastasis in invasive breast cancer. In this context, we investigated the impact of beta-blocker exposure on risk for progression to invasive breast cancer after diagnosis of ductal cancer in situ (DCIS).
METHODS: The retrospective study population included 2535 women diagnosed with pure DCIS between 2006 and2012 in three healthcare regions in SwedenExposure to beta-blocker was quantified using a time-varying percentage of days with medication available. The absolute risk was quantified using cumulative incidence functions and cox models were applied to quantify the association between beta-blocker exposure and time from DCIS diagnosis to invasive breast cancer, accounting for delayed effects, competing risks and pre-specified confounders.
RESULTS: The median follow-up was 8.7 years. One third of the patients in our cohort were exposed to beta-blockers post DCIS diagnosis. During the study period, 48 patients experienced an invasive recurrence, giving a cumulative incidence of invasive breast cancer progression of 1.8% at five years. The cumulative exposure to beta-blocker was associated with a reduced risk in a dose-dependent manner, though the effect was not statistically significant.
CONCLUSIONS: Our observational study is suggestive of a protective effect of beta-blockers against invasive breast cancer after primary DCIS diagnosis. These results provide rationales for experimental and clinical follow-up studies in carefully selected DCIS groups.

UNASSIGNED: Opioid use disorder is an evolving crisis, and 17.2% of postsurgical patients continue to fill an opioid prescription one year after surgery. Preclinical studies suggest perioperative opioid use, defined here as opioids used in the setting of operative pain, may be linked to inferior oncologic outcomes. If this were true, opioid minimization strategies for surgical patients may reduce opioid-related deaths in more than one way. This review aims to describe the association between perioperative opioid use and breast cancer recurrence.
UNASSIGNED: On November 1, 2021, we searched the Ovid and EMBASE databases for the terms \"breast neoplasm\", \"opioid analgesics\", \"neoplasm recurrence\", and \"neoplasm metastasis\". Of the 350 articles retrieved, 11 met our inclusion criteria. The review was undertaken using the enhancing transparency in reporting the synthesis of qualitative research (ENTREQ) checklist for quality.
UNASSIGNED: Clinical studies report no clear association between perioperative opioid use and local or distant breast cancer recurrence. Mixed results were found when assessing perioperative opioid use and overall survival. Multiple studies paradoxically found opioid use to be associated with lower recurrence rates, despite higher mortality rates. Most studies showed no difference in recurrence or survival in breast cancer surgery patients who did or did not receive opioid-containing analgesia, although most findings were limited by study design and low event rates in patients with breast cancer.
UNASSIGNED: The lack of a clear connection between perioperative opioid use and breast cancer recurrence contradicts some preclinical data, which describes mechanisms through which opioids upregulate tumor proliferation which might worsen oncologic outcomes. Existing clinical literature is limited to mostly retrospective studies in patients with predominantly early-stage breast cancers, with low event rates. Given the worsening opioid epidemic and preclinical study findings, opioid minimization strategies should still be explored. Future work should be prospective and examine cancer recurrence in high-risk patients with more advanced tumor pathologies.

Multi-gene assays have been widely used to predict the recurrence risk for hormone receptor (HR)-positive breast cancer patients. However, these assays lack explanatory power regarding the underlying mechanisms of the recurrence risk. To address this limitation, we proposed a novel multi-layered knowledge graph neural network for the multi-gene assays. Our model elucidated the regulatory pathways of assay genes and utilized an attention-based graph neural network to predict recurrence risk while interpreting transcriptional subpathways relevant to risk prediction. Evaluation on three multi-gene assays-Oncotype DX, Prosigna, and EndoPredict-using SCAN-B dataset demonstrated the efficacy of our method. Through interpretation of attention weights, we found that all three assays are mainly regulated by signaling pathways driving cancer proliferation especially RTK-ERK-ETS-mediated cell proliferation for breast cancer recurrence. In addition, our analysis highlighted that the important regulatory subpathways remain consistent across different knowledgebases used for constructing the multi-level knowledge graph. Furthermore, through attention analysis, we demonstrated the biological significance and clinical relevance of these subpathways in predicting patient outcomes. The source code is available at http://biohealth.snu.ac.kr/software/ExplainableMLKGNN.

This article presents a case of cervical metastasis from recurrence of invasive ductal carcinoma of the breast >20 years after initial diagnosis. The diagnosis was made after the patient presented with three months of intermittent post-menopausal vaginal spotting. She underwent palliative radiotherapy combined with chemotherapy and was disease free at the time of writing. Cervical metastasis of a primary breast cancer is extremely rare and can present with a variety of symptoms. This case report highlights the importance of life-long gynecologic care and surveillance in patients with a history of breast cancer.

For a second ipsilateral breast tumor event, salvage mastectomy is the standard of care while second conservative treatment is a possible option. However, level 1 proofs are missing, leading to perform salvage mastectomy for patients who could receive second conservative treatment and consequently avoid psychological/quality of life salvage mastectomy deleterious impacts. A phase 3 randomized trial comparing salvage mastectomy to second conservative treatment is needed. Here we discuss what would be to us the optimal design of such trial to confirm the non-inferiority between the two salvage options, with a focus on methodological aspects in terms of patient characteristics and statistical issues.