Journal of Breast Cancer最新文献

Schwannomas are slow-growing benign tumors originating from the Schwann cells of the peripheral nerve sheaths. Herein, we report the first documented case of a schwannoma presenting as a painful nipple mass in a 32-year-old woman. This mass initially developed six years ago following a period of breastfeeding. Breast magnetic resonance imaging (MRI) scans revealed an iso-intense mass, with an approximate size of 2.2 cm, on a T1-weighted image with internal cystic changes. The mass exhibited heterogeneously delayed enhancement and restricted diffusion. Surgical excision was performed, and the diagnosis of cutaneous plexiform nipple schwannoma was confirmed histopathologically. A literature review revealed that the MRI findings of the nipple mass in our case were consistent with the common features of a schwannoma.

Purpose: Human epidermal growth factor receptor 2 (HER2)-targeted therapies, such as trastuzumab, benefit patients with HER2-positive metastatic breast cancer; however, owing to traditional pathway activation or alternative signaling, resistance persists. Given the crucial role of the formin family in shaping the actin cytoskeleton during cancer progression, these proteins may function downstream of the HER2 signaling pathway. Our aim was to uncover the potential correlations between formins and HER2 expression using a combination of public databases, immunohistochemistry, and functional in vitro assays.

Methods: Using online databases, we identified a negative prognostic correlation between specific formins mRNA expression in HER2-positive cancers. To validate these findings at the protein level, immunohistochemistry was performed on HER2 subtype breast cancer tumors to establish the links between staining patterns and clinical characteristics. We then knocked down individual or combined formins in MDA-MB-453 and SK-BR-3 cells and investigated their effects on wound healing, transwell migration, and proliferation. Furthermore, we investigated the effects of erb-b2 receptor tyrosine kinase 2 (ERBB2)/HER2 small interfering RNA (siRNA)-mediated knockdown on the PI3K/Akt and MEK/ERK1 pathways as well as on selected formins.

Results: Our results revealed that correlations between INF2, FHOD1, and DAAM1 mRNA expression and ERBB2 in HER2-subtype breast cancer were associated with worse outcomes. Using immunohistochemistry, we found that high FHOD1 protein expression was linked to higher histological grades and was negatively correlated with estrogen and progesterone receptor positivity. Upon formins knockdown, we observed effects on wound healing and transwell migration, with a minimal impact on proliferation, which was evident through single and combined knockdowns in both cell lines. Notably, siRNA-mediated knockdown of HER2 affected FHOD1 and INF2 expression, along with the phosphorylated Akt/MAPK states.

Conclusion: Our study highlights the roles of FHOD1 and INF2 as downstream effectors of the HER2/Akt and HER2/MAPK pathways, suggesting that they are potential therapeutic targets in HER2-positive breast cancer.

Purpose: Most oncological treatments for leptomeningeal metastasis (LM) do not cross the blood-brain barrier (BBB). One therapeutic option is intrathecal (IT) chemotherapy. Both the brain-implanted Omaya reservoir and lumbar puncture (LP) are classic routes for IT chemotherapy delivery. An intrathecal catheter (IC) connected to a subcutaneous port is a recently developed option for the management of chemotherapy infusions. It is essential to evaluate the efficacy and safety of chemotherapy infusion using such device.

Methods: We conducted a retrospective monocentric study within Institut de cancerologie de l'Ouest at Angers, including all patients with advanced breast cancer (aBC) with LM implanted with an IT device for IT chemotherapy between January 2013 and May 2020. The primary endpoint was overall survival (OS) and secondary endpoints included surgical feasibility, patient safety, and progression-free survival (PFS). The catheter was inserted through an LP, the tip was positioned at the right level and connected to a subcutaneous port implanted under the skin of the anterior thoracic wall. IT chemotherapy is painless and easy for qualified nurses to administer on an outpatient basis.

Results: Thirty women underwent the implantation. No failures occurred during the procedure. A total of 77% of patients reported no complications after implantation. Only three complications required surgical treatment. The median number of IT chemotherapy courses per patient was 8 (range, 2-27). The tolerance profile for iterative IT chemotherapy was manageable in ambulatory care. With a median follow-up of 76.5 months (95% confidence interval [CI], 11.6-not available), the median OS was 158 days (95% CI, 87-235), and the median PFS was 116 days (95% CI, 58-174).

Conclusion: Infusing chemotherapy using an implanted catheter is an efficient option for managing IT chemotherapy with a good tolerance profile. Patient-reported outcomes for the evaluation of IT chemotherapy toxicity are currently being developed.

Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise of artificial intelligence (AI) has ushered in a new era, notably in image analysis, paving the way for major advancements in breast cancer diagnosis and individualized treatment regimens. In the diagnostic workflow for patients with breast cancer, the role of AI encompasses screening, diagnosis, staging, biomarker evaluation, prognostication, and therapeutic response prediction. Although its potential is immense, its complete integration into clinical practice is challenging. Particularly, these challenges include the imperatives for extensive clinical validation, model generalizability, navigating the "black-box" conundrum, and pragmatic considerations of embedding AI into everyday clinical environments. In this review, we comprehensively explored the diverse applications of AI in breast cancer care, underlining its transformative promise and existing impediments. In radiology, we specifically address AI in mammography, tomosynthesis, risk prediction models, and supplementary imaging methods, including magnetic resonance imaging and ultrasound. In pathology, our focus is on AI applications for pathologic diagnosis, evaluation of biomarkers, and predictions related to genetic alterations, treatment response, and prognosis in the context of breast cancer diagnosis and treatment. Our discussion underscores the transformative potential of AI in breast cancer management and emphasizes the importance of focused research to realize the full spectrum of benefits of AI in patient care.

Trastuzumab deruxtecan (T-DXd) is used to treat human epidermal growth factor receptor 2-positive advanced breast cancer. Interstitial lung disease (ILD) is a severe adverse event associated with T-DXd. Current guidelines recommend permanent discontinuation of T-DXd after Common Terminology Criteria for Adverse Events (CTCAE) grade ≥ 2 ILD. Here, we describe a case of successful rechallenge with T-DXd after CTCAE grade 2 treatment-induced ILD. After discontinuation of T-DXd, ILD was treated with steroids until complete resolution. Given the initial beneficial antitumor response, retreatment was discussed during disease progression. In a shared decision with the patient, T-DXd was restarted at the lowest registered dose, along with low-dose steroids. ILD did not reoccur. Importantly, both clinical and radiological responses to the treatment were observed, with an improvement in the patient's quality of life. This case demonstrates that retreatment with T-DXd after a grade 2 ILD event is feasible and yields clinical benefit.

Purpose: The preemptive use of renin-angiotensin system (RAS) inhibitors may reduce doxorubicin (DOX)-related cardiotoxicity. Using the national insurance claims data of Korea, this study compared cardiovascular (CV) outcomes following the use of four major antihypertensive drug classes in patients with hypertension and breast cancer who underwent DOX-containing chemotherapy.

Methods: A total of 4,722 patients with hypertension and breast cancer who underwent DOX-containing chemotherapy were included. The outcomes were compared between patients who used RAS inhibitors, calcium channel blockers (CCBs), beta-blockers (BBs), and thiazide and thiazide-like diuretics (TDs). The primary outcome was a composite of incident heart failure and serious ventricular arrhythmias, including ventricular tachycardia and fibrillation, ischemic heart disease, and stroke.

Results: In the propensity score-matched population, there were no significant differences in the primary outcome between RAS inhibitor and CCB users; however, patients with diabetes who used CCBs had a worse primary outcome than those who used RAS inhibitors (adjusted hazard ratio [aHR], 1.93; 95% confidence interval [CI], 1.06-3.51). BB and TD users had a worse primary outcome compared with RAS inhibitor (aHR, 1.88; 95% CI, 1.30-2.71 in BB users and aHR, 2.55; 95% CI, 1.37-4.75 in TD users) or CCB (aHR, 1.54; 95% CI, 1.09-2.16 in BB users and aHR, 2.08; 95% CI, 1.13-3.82 in TD users) users.

Conclusion: RAS inhibitors are preferred for the treating hypertension and improving CV outcomes in patients with hypertension and breast cancer undergoing DOX-containing chemotherapy, particularly in patients with comorbid diabetes. However, CCBs are equivalent to RAS inhibitors and are more favorable than BBs and TDs in terms of improving CV outcomes.

Despite recent advances in artificial intelligence (AI) software with improved performance in mammography screening for breast cancer, insufficient data are available on its performance in detecting cancers that were initially missed on mammography. In this study, we aimed to determine whether AI software-aided mammography could provide additional value in identifying cancers detected through supplemental screening ultrasound. We searched our database from 2017 to 2018 and included 238 asymptomatic patients (median age, 50 years; interquartile range, 45-57 years) diagnosed with breast cancer using supplemental ultrasound. Two unblinded radiologists retrospectively reviewed the mammograms using commercially available AI software and identified the reasons for missed detection. Clinicopathological characteristics of AI-detected and AI-undetected cancers were compared using univariate and multivariate logistic regression analyses. A total of 253 cancers were detected in 238 patients using ultrasound. In an unblinded review, the AI software failed to detect 187 of the 253 (73.9%) mammography cases with negative findings in retrospective observations. The AI software detected 66 cancers (26.1%), of which 42 (63.6%) exhibited indiscernible findings obscured by overlapping dense breast tissues, even with the knowledge of magnetic resonance imaging and post-wire localization mammography. The remaining 24 cases (36.4%) were considered interpretive errors by the radiologists. Invasive tumor size was associated with AI detection after multivariable analysis (odds ratio, 2.2; 95% confidence intervals, 1.5-3.3; p < 0.001). In the control group of 160 women without cancer, the AI software identified 19 false positives (11.9%, 19/160). Although most ultrasound-detected cancers were not detected on mammography with the use of AI, the software proved valuable in identifying breast cancers with indiscernible abnormalities or those that clinicians may have overlooked.