Clinical breast cancer最新文献

The COVID-19 pandemic exposed significant challenges in breast cancer care including healthcare inequities, limited access to surgeries, and difficulties in delivering virtual care. This letter builds upon the findings from the article "The Impact of COVID-19 on Breast Cancer Care" and proposes innovative solutions to address these challenges. Key suggestions include the use of AI-powered digital platforms for remote monitoring, robotic-assisted surgery for enhanced precision, mobile health applications for marginalized populations, and 3D printing for personalized breast reconstruction. Additionally, wearable health devices, nanotechnology for targeted drug delivery, and blockchain for secure medical data sharing are proposed to further improve the future of breast cancer care. These innovations offer practical approaches to overcoming the obstacles highlighted during the pandemic and aim to create a more equitable and efficient healthcare system.

Background: To develop a radiogenomics nomogram for predicting axillary lymph node (ALN) metastasis in breast cancer and reveal underlying associations between radiomics features and biological pathways.

Materials and methods: This study included 1062 breast cancer patients, 90 patients with both DCE-MRI and gene expression data. The optimal immune-related genes and radiomics features associated with ALN metastasis were firstly calculated, and corresponding feature signatures were constructed to further validate their performances in predicting ALN metastasis. The radiogenomics nomogram for predicting the risk of ALN metastasis was established by integrating radiomics signature, immune-related genes (IRG) signature, and critical clinicopathological factors. Gene modules associated with key radiomics features were identified by weighted gene co-expression network analysis (WGCNA) and submitted to functional enrichment analysis. Gene set variation analysis (GSVA) and correlation analysis were performed to investigate the associations between radiomics features and biological pathways.

Results: The radiogenomics nomogram showed promising predictive power for predicting ALN metastasis, with AUCs of 0.973 and 0.928 in the training and testing groups, respectively. WGCNA and functional enrichment analysis revealed that gene modules associated with key radiomics features were mainly enriched in breast cancer metastasis-related pathways, such as focal adhesion, ECM-receptor interaction, and cell adhesion molecules. GSVA also identified pathway activities associated with radiomics features such as glycogen synthesis, integration of energy metabolism.

Conclusion: The radiogenomics nomogram can serve as an effective tool to predict the risk of ALN metastasis. This study provides further evidence that radiomics phenotypes may be driven by biological pathways related to breast cancer metastasis.

Background: Ductal carcinoma in situ (DCIS) is the most common form of preinvasive breast cancer, with 5-10% of cases progressing into invasive disease. Herein, we investigated the association between HER2-low and clinico-pathological characteristics in DCIS and subsequent ipsilateral loco-regional relapse (LRR).

Materials and methods: We accessed our prospectively maintained institutional database. HER2 status was determined by immunohistochemistry and classified as null (score 0), over-expressed (3+), and low (1+ or 2+); in situ hybridization was not considered since it is not used for routine DCIS diagnostics.

Results: Among 375 patients with DCIS, median age was 54 (27-88) years, with a primary tumor size < 2.5 cm in 63%, grade III in 33%, and positive hormone receptor status (HR) in 81% of cases; 71% underwent breast-conserving surgery, 34% received adjuvant endocrine and 39% radiotherapy. A total of 197 (52%) had tumors with low HER2 expression, which resulted significantly associated with grade I/II (P < .001), Ki67< 20% (P < .001), and HR-positive status (P < .001). HER2-low distribution varied from 19.61% and 50% in ER negative and ER-low (<10%) to 60% and 69% in ER high (50%-95%) and very high tumors (> 95%) (P < .001). After a median 39-month follow-up (IQR 16-65), cumulative incidences of LRR was 0.054. Among 17 patients with paired primary tumor and LRR, 5 had discordant HER2 status, with an even distribution of increased and decreased HER2 expression.

Conclusions: Low HER2 expression in DCIS is associated with features of reduced aggressiveness. Importantly, changes in HER2 expression may occur prompting retesting in recurrent cases, in line with observations in invasive breast cancer.

Background: HER2-targeted therapies have significantly improved outcomes for patients with HER2-positive breast cancer (BC), which represents 15% to 20% of all BC cases. HER2 status is assessed via immunohistochemistry (IHC) and/or in situ hybridization (ISH), dividing BCs into five groups (G1-G5).

Patients and methods: In a study of 2,702 primary BC cases, comprising 12.7% G1, 0.2% G2, 2.8% G3, 8.5% G4, and 75.9% G5, we analyzed clinicopathologic features and HER2 protein expression digitally for each ISH group.

Results: Notably, G5 cases had a higher proportion of lobular carcinoma (13.9%) compared to other groups. G3 cases showed the highest percentage of grade 3 tumors (56.9%), while G5 cases had the lowest (21.4%). Additionally, G5 cases had the highest rate of estrogen receptor (ER) positivity (84.6%), while G1-HC (high copy number) cases had the lowest (70.4%). Most G1-HC cases were HER2 IHC 3+ (76.1%), while most G5 cases were IHC 0/1+ (75.7%). IHC 2+ was most common in G1-LC (low copy number) and G3 cases (83.8% and 90.7%, respectively), with G4 cases predominantly IHC 2+ (56.3%) and IHC 1+ (30.1%). Discordant HER2 IHC and ISH results were observed in 12 cases (0.4%), including 7 G1-HC (2.3%), 4 G1-LC (10.8%), and 1 G5 case (0.1%). Digital quantification of HER2 IHC levels in all groups except G5 revealed that G1-HC tumors had the highest HER2 protein expression, followed by G3, with G4 showing the lowest.

Conclusion: These findings offer valuable insights into the clinicopathologic characteristics and future management for different HER2 ISH groups.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer that disproportionately affects younger females, non-Hispanic Black women, Hispanic women, and women with the BRCA1 gene mutation. Hereditary genetic testing is particularly important in this population to assess preventative and treatment strategies, however access to genetic testing is variable. A qualitative review was performed to evaluate barriers to genetic testing for patients with TNBC. Mutations common in breast cancer are reviewed along with updated guidelines on management strategies, including the ability to include PARP inhibitors as a treatment strategy. Barriers to genetic testing are multifactorial, with non-Hispanic Black women being tested less often than other groups. The disparity is even further represented by the limited number of non-Hispanic Black patients with TNBC who receive risk-reducing surgery or targeted systemic therapy. Eliminating barriers to genetic testing can allow us to support guideline-directed care for patients with TNBC at higher risk for genetic mutations.

Background: De-escalation of adjuvant treatment in patients with T1abN0 breast cancer is discussed internationally. Identification of new prognostic factors in these patients may assist this de-escalation. The PAM50 signature and tumor inflammation signature (TIS), Programmed Cell Death Protein 1 (PD-1) and Programmed Cell Death Ligand 1 (PD-L1) signatures are possible prognostic factors for recurrence.

Materials and methods: Danish patients with T1abN0 breast cancer diagnosed between 2007-2016 were identified, the NanoString Breast Cancer 360 Panel was performed on tissue samples from cases with recurrence matched 1:1 with controls without recurrence (n = 234). The association between gene signatures and recurrence was analyzed with conditional logistic regression.

Results: Patients with the basal-like subtype had higher values of TIS, PD-1 and PD-L1 scores compared with other subtypes. Patients with higher PD-L1 score had significantly lower odds of recurrence (odds ratio [OR] 0.61, P = .01). Likewise, an increased TIS score was associated to lower, but nonsignificant odds of recurrence (OR 0.76, P = .07). Patients with human epidermal growth factor receptor 2 (HER2)-enriched subtype had significantly higher odds of recurrence compared with patients with luminal A subtype (OR 4.8, P = .03).

Discussion: PAM50 and immune-related signatures provide important prognostic information in patients with T1abN0 breast cancer, which may refine the risk assessment in these patients.

Hyperglycemia is a common adverse event (AE) associated with phosphatidylinositol-3-kinase inhibitors (PI3Kis) and considered an on-target effect. Presence of hyperglycemia is associated with poor outcomes in patients with cancer, and there is need for further refinement of hyperglycemia prevention and mitigation strategies in patients receiving PI3Kis. In this review, the authors highlight effective strategies for preventing PI3Ki-induced hyperglycemia before and during treatment as well as hyperglycemia management. Prior to initiating treatment with PI3Ki, identify baseline risk factors of patients at increased risk for developing hyperglycemia, which include older age, obesity, and glycosylated hemoglobin (HbA1c) 5.7%-6.4% (prediabetes or Type 2 diabetes). To prevent new-onset hyperglycemia, optimize blood glucose, and recommend a low-carbohydrate (60-130 g/day) diet along with regular exercise to all patients prior to initiating the PI3Ki. Prophylactic metformin may be considered in all patients starting a PI3Ki with HbA1c ≤6.4%. Although existing recommendations support monitoring fasting blood glucose (FBG) once weekly (twice-weekly for intermediate-risk, daily for high-risk patients) and HbA1c every 3 months upon initiation of PI3Ki, more frequent FBG monitoring may be considered for prompt detection of hyperglycemia. Experts also recommend considering postprandial glucose monitoring because it is an early indicator of glucose intolerance. If hyperglycemia develops, metformin (first-line) and/or sodium glucose co-transporter 2 inhibitors or thiazolidinediones (second-/third-line) are the preferred agents; consider early referral to an endocrinologist. In conclusion, hyperglycemia is a common but manageable AE associated with PI3Kis. Multidisciplinary approach to the prevention, monitoring, and management of hyperglycemia optimizes patient care and allows patients to maintain therapy on PI3Ki.

Background: It is unclear whether breast cancer (BC) subtypes or CSF cytology results are associated with overall survival (OS) among patients with BC leptomeningeal disease (LMD). This single-institution retrospective study compares OS among BC patients with LMD across various breast cancer subtypes and CSF cytology results.

Methodology: The study enrolled BC patients diagnosed with LMD between 2010 and 2023. Breast cancer subtypes were classified as A. ER+/HER2-, HER2+, or triple-negative BC (TNBC); B. HER2+, HER2-Low, HER2-Zero. CSF cytology subtypes included CSF+, CSF-, or CSF not tested (NT). OS was summarized via Kaplan-Meier analysis and compared using log-rank test. Cox models were used for multivariate analyses.

Results: Out of 69 patients registered, median OS (95% CI) for ER+/HER2- (n = 33), HER2+ (n = 12) and TNBC (n = 24) subtypes were 8.0 (3.02, 24.8), 5.71 (1.61, not estimated) and 3.2 (1.11, 4.95) months (P = .17). In multivariate analysis, TNBC was associated with worse OS versus ER+/HER2- [Hazard Ratio (HR), 95% CI: 2.64, 1.23-5.80, P = .04]. HER2 subtypes (HER2-Zero, n = 21; HER2-Low, n = 32; HER2+, n = 12) showed no significant differences in OS. Median OS (95% CI) for CSF+ (n = 16), CSF- (n = 18), and CSF NT (n = 35) groups were 3.54 (1.61, 12.72), 13.41 (4.95, 61.93) and 3.28 (1.44, 6.92) months (P = .04). Multivariate analysis showed both CSF+ and CSF NT were associated with shorter OS compared to CSF- group [HR (95% CI) 4.50 (1.75, 12.11) for CSF+ vs. CSF-; 2.91 (1.45, 6.26) for CSF NT vs. CSF-; P = .002].

Conclusion: TNBC LMD group was associated with worse OS than ER+/HER2- BC LMD when adjusting for other prognostic factors. CSF- LMD patients had better OS than CSF+ or CSF NT LMD.

Introduction: We sought to develop clinical guidelines within our multidisciplinary Breast Center to support decision-making for managing high-risk breast lesions. The objective is to describe the process used to develop these guidelines and assess perceived acceptability.

Methods: We recruited clinical stakeholders to identify key "high-risk" topics. Stakeholder groups (surgery, radiology, pathology) met separately to review the topics, leveraging existing literature reviews and best available evidence. Guidelines were initially developed in 2015 and updated in 2019. We surveyed breast clinical team members in 2023 regarding the perceived acceptability of the guidelines and summarized the data.

Results: We created clinical guidelines to address the management of atypical ductal hyperplasia, flat epithelial atypia, atypical lobular hyperplasia/lobular carcinoma in situ, radial scar/complex sclerosing lesion, and papillomas. Key guideline components included process for radiologic-pathologic correlation, patient disposition after biopsy (surgical referral needed, follow-up imaging recommended), recommendation for the role of surgical excision, and recommendation regarding imaging follow-up if excision not performed. Forty clinical team members (66% [40/60] response rate) completed the acceptability survey from varied disciplines. Most (78%) were aware of the guidelines. Respondents rated the recommendations for disposition after biopsy, surgical management, and follow-up imaging as the most helpful components. Most (> 80%) rated them to be very/extremely useful.

Conclusion: We leveraged input from key stakeholders to develop clinical guidelines to support the multidisciplinary management of patients with high-risk breast lesions. Our guidelines have been successfully implemented across our academic and community practice. Future steps will assess the impact of implementation on clinical outcomes.