The Area Deprivation Index (ADI) ranks neighborhoods by deprivation based on US Census data. This study utilizes ADI scores to investigate the impact of neighborhood deprivation on complication rates following breast reconstruction.
Patients who received implant-based reconstruction from 2019 to 2023 were identified at a single institution in New York. Patients were linked to a state-specific ADI score and categorized into groups: “High ADI” (6-10) and “Low ADI” (1-5). Patient characteristics and complication rates were compared between the ADI groups with Chi-Square analysis and t-tests. The predictive value of ADI scores on complication rates was assessed using logistic regression models.
In total, 471 patients were included, of which 16% (n = 73) were in the High ADI group, and 84% (n = 398) were in the Low ADI group. There were no baseline differences between the 2 groups, except that there were more patients of Hispanic descent in the High ADI group (30% vs. 15%, P < .01). The High ADI group had a higher overall complication rate than the Low ADI group (34% vs. 21%, P < .01), as well as higher individual rates of hematoma (12% vs. 3%, P < .01) and unexpected reoperations (18% vs. 7%, P < .01). After adjusting for differences in race, High ADI scores predicted hematoma, reoperations, and any complication (P < .05).
Patients living in neighborhoods with high ADI had a higher incidence of postoperative complications, independent of comorbidities and race. This measure of disparity should be considered when counselling patients about their risk of complications following procedures like implant-based breast reconstruction.
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.
Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer. FAM3B, a secreted protein, has been extensively studied in various types of tumors. However, its function in breast cancer remains poorly understood.
We analyzed FAM3B expression data from breast cancer patients available at TCGA database and overall survival was analyzed by using the Kaplan-Meier plotter. MDA-MB-231 TNBC tumor cell line and hormone-responsive MCF-7 cell lines were transfected to overexpress FAM3B. We assessed cell death, tumorigenicity, and invasiveness in vitro through MTT analysis, flow cytometry assays, anchorage-independent tumor growth, and wound healing assays, respectively. We performed in vivo evaluation by tumor xenograft in nude mice.
In silico analysis revealed that FAM3B expression was lower in all breast tumors. However, TNBC patients with high FAM3B expression had a poor prognosis. FAM3B overexpression protected MDA-MB-231 cells from cell death, with increased expression of Bcl-2 and Bcl-xL, and reduced caspase-3 activity. MDA-MB-231 cells overexpressing FAM3B also exhibited increased tumorigenicity and migration rates in vitro, displaying increased tumor growth and reduced survival rates in xenotransplanted nude mice. This phenotype is accompanied by the upregulation of EMT-related genes Slug, Snail, TGFBR2, vimentin, N-cadherin, MMP-2, MMP-9, and MMP-14. However, these effects were not observed in the MCF-7 cells overexpressing FAM3B.
FAM3B overexpression contributes to tumor growth, promotion of metastasis, and, consequently, leads to a poor prognosis in the most aggressive forms of breast cancer. Future clinical research is necessary to validate FAM3B as both a diagnostic and a therapeutic strategy for TNBC.
Eribulin is used in taxane and anthracycline refractory HER2-negative metastatic breast cancers (MBC). Patients treated in pivotal clinical trials achieved low survival rates, therefore, the identification of prognostic criteria for long progression-free survival (PFS) is still an unmet medical need. In this study, we sought to determine potential prognostic criteria for long-term eribulin response in HER2-negative MBC.
Our retrospective cohort includes female patients with HER2-negative MBC treated with eribulin in Franche-Comté, France. We defined a long-term response as at least 6 months of eribulin treatment. The primary endpoint was the analysis of criteria that differ according to the progression-free survival. Secondary outcomes concerned overall survival and response rate.
From January 2011 to April 2020, 431 patients treated with eribulin were screened. Of them, 374 patients were included. Median PFS was 3.2 months (2.8-3.7). Eighty-eight patients (23.5%) had a long-term response to eribulin. Four discriminant criteria allowed to separate PFS in 2 arms (PFS < 3 months or > 6 months) with a 78% positive predictive value: histological grade, absence of meningeal metastasis, response to prior chemotherapy, and OMS status. We have developed a nomogram combining these 4 criteria. Median overall survival was 8.5 months (7.0-9.5).
Eribulin response in MBC can be driven by clinical and biological factors. Application of our nomogram could assist in the prescription of eribulin.
MRI-guided biopsy is the standard of care for breast imaging findings seen only by MRI. Although a non-zero false-negative rate of MRI-guided breast biopsy has been reported by multiple studies, there are varied practice patterns for imaging follow-up after a benign concordant MRI guided biopsy. This study assessed the outcomes of benign concordant MRI-guided biopsies at a single institution.
This IRB-approved, retrospective study included patients with MRI-guided biopsies of breast lesions from November 1, 2014, to August 31, 2020. Only image-concordant breast lesions with benign histopathology and those follow up with MRI imaging or excision were included in the study.
Out of 275 lesions in 216 patients that met the inclusion criteria, 274 lesions were followed with MRI (range, 5-79 months; average, 25.5 months) and showed benign or stable features upon follow-up. One out of 275 lesions (0.4%), a 6 mm focal nonmass enhancement, was ultimately found to represent malignancy after initial MRI-guided biopsy yielded fibrocystic changes. The lesion was stable at a 6-month follow-up MRI but increased in size at 18 months. Repeat biopsy by ultrasound guidance yielded invasive ductal carcinoma (IDC) and ductal carcinoma in situ (DCIS).
Breast MRI-guided biopsy has a low false-negative rate. Our single malignancy from a total of 275 lesions gives a false negative rate of 0.4%. This data also supports a longer follow-up interval than the commonly performed 6-month follow-up, in order to assess for interval change.