Purpose To evaluate the diagnostic performance of quantitative parameters derived from dual-energy CT for the preoperative diagnosis of metastatic sentinel lymph nodes (SLNs) in participants with breast cancer. Materials and Methods For this prospective study, dual-phase contrast agent-enhanced CT was performed in female participants with breast cancer from June 2015 to December 2017. Quantitative dual-energy CT parameters and morphologic parameters were compared between metastatic and nonmetastatic SLNs. The quantitative parameters were fitted to univariable and multivariable logistic regression models. The diagnostic role of morphologic and quantitative parameters was analyzed by receiver operating characteristic curves and compared by using the McNemar test. Results This study included 193 female participants (mean age, 47.6 years ± 10.1; age range, 22-79 years). Quantitative dual-energy CT parameters including slope of the spectral Hounsfield unit curve (λ) measured at both arterial and venous phases, normalized iodine concentration at both arterial and venous phase, and normalized effective atomic number at the venous phase were higher in metastatic than in nonmetastatic SLNs (P value range, ≤.001 to .031). Univariable and multivariable logistic regression analyses showed that venous phase λ (in Hounsfield units per kiloelectron-volt) was the best single parameter for the detection of metastatic SLNs. The accuracy of the venous phase λ for detecting metastatic SLNs was 90.5% on a per-lymph node basis and 87.0% on a per-patient basis. The accuracy and specificity at venous phase λ was higher than their counterparts in the morphologic parameters (P < .001). Conclusion Dual-energy CT is a complementary means for the preoperative identification of sentinel lymph nodes metastases in participants with breast cancer. © RSNA, 2018 Online supplemental material is available for this article.

Purpose: Despite its enormous successes, the overall response rate of cancer immunotherapy remains suboptimal, especially in breast cancer. There is an increased interest in combining immune checkpoint inhibitor with targeted agents to enhance antitumor effect. Anti-angiogenic drugs have been shown to synergize with immune checkpoint blockades, but the optimal setting for combining these two modalities and the underlying mechanisms of synergistic responses are not fully understood.Experimental Design: We tested the combination of anti-PD-1 and different doses of VEGFR2-targeting agents in syngeneic breast cancer mouse models. Tumor-infiltrated immune cell subsets were profiled by flow cytometry. A cytokine array was carried out to identify inflammatory changes in different treatment conditions. The efficacy of combined anti-angiogenic and anti-PD-1 therapy was further evaluated in patients with advanced triple-negative breast cancer (TNBC).Results: Blockade of VEGFR2 sensitizes breast tumors to PD-1 blockade in a dose-dependent manner. Although both conventional and low-dose anti-VEGFR2 antibody treatments normalize tumor vessels, low-dose VEGFR2 blockade results in more robust immune cell infiltration and activation and promotes the secretion of osteopontin (OPN) by CD8 þ T cells. OPN subsequently induces tumor cell production of TGF-b, which in turn upregulates PD-1 expression on immune cells. In patients with advanced TNBC, combined treatment with low-dose anti-VEGFR2 inhibitor and anti-PD-1 demonstrated excellent tolerability and efficacy. Higher OPN and TGF-b expressions correlated with improved treatment responses.Conclusions: Together, these results demonstrate a dosedependent synergism between anti-angiogenic therapy and immune checkpoint blockade, thus providing important insights into the optimal strategies for combining immunotherapy with molecular-targeted agents.

Over the past four decades, chemotherapy has played an important role in prolonging survival in breast cancer patients. However, it may also result in undesirable side effects such as hepatitis B virus (HBV) reactivation seen in this study. With the increasing use of chemotherapy paralleling the rise in breast cancer incidence, the occurrence of HBV reactivation is likely to further increase. Several strategies use lamivudine to deal with this problem. Initially, lamivudine had been used to treat patients who developed alanine transaminase elevation attributable to HBV reactivation during chemotherapy. However, using this strategy, fatal reactivation has also been reported. Later studies have suggested that prophylactic lamivudine significantly reduces HBV reactivation and its associated morbidity. However, these studies were based mainly on patients with lymphoma, whereas studies on breast cancer patients were few. Moreover, these studies were retrospective. Recently, a prospective study has recommended that deferred preemptive lamivudine could be a comparable alternative to the prophylactic strategy. However, it was not a randomized controlled study. In this study, it was examined the efficacy of the prophylactic strategy in hepatitis B s-antigen seropositive breast cancer patients during chemotherapy using a prospective, randomized controlled study. Two groups were studied. One group consisted of 21 patients who were treated with prophylactic lamivudine, the other group consisted of 21 patients who were not treated with prophylactic lamivudine. The results showed that the prophylactic lamivudine strategy significantly decreased the incidence of HBV reactivation (0 vs. 28.6%, P = 0.021). It was conclude that the prophylactic lamivudine strategy significantly reduces the incidence of HBV reactivation for hepatitis B s-antigen seropositive breast cancer undergoing chemotherapy.

Non-agriculturalization incidents are serious threats to local agricultural ecosystem and global food security. Remote sensing change detection (CD) can provide an effective approach for in-time detection and prevention of such incidents. However, existing CD methods are difficult to deal with the large intra-class differences of cropland changes in high-resolution images (HRIs). In addition, traditional CNN based models are plagued by the loss of long-range context information, and the high computational complexity brought by deep layers. Therefore, we propose a CNNtransformer network with multi-scale context aggregation (MSCANet), which combines the merits of CNN and transformer to fulfill efficient and effective cropland change detection. In the MSCANet, a CNN-based feature extractor is first utilized to capture hierarchical features, then a transformer-based multiscale context aggregator (MSCA) is designed to encode and aggregate context information. Finally, a multi-branch prediction head (MBPH) with three CNN classifiers is applied to obtain change maps, to enhance the supervision for deep layers. Besides, for the lack of change detection dataset with fine-grained cropland change of interest, we also provide a new cropland change detection dataset (CLCD), which contains 600 pairs of 512×512 bitemporal images with the spatial resolution of 0.5-2m. Comparative experiments with several CD models prove the effectiveness of the MSCANet, with the highest F1 of 64.67% on the high-resolution semantic change detection dataset (HRSCD), and of 71.29% on CLCD. Code and dataset in the paper will be available for download from the following link https://github.com/liumency/CropLand-CD.

To evaluate the incidence of chemotherapy-induced amenorrhea (CIA) and its therapeutic impact in premenopausal breast cancer patients. A systematic search was performed to identify clinical studies that compared the incidence of CIA with different chemotherapy regimens and oncological outcomes with and without CIA. The fixed-effects and random-effects models were used to assess the pooled estimates. Heterogeneity and sensitivity analyses were performed to explore heterogeneity among studies and to assess the effects of study quality. A total of 15,916 premenopausal breast cancer patients from 46 studies were included. The cyclophosphamide-based regimens, taxane-based regimens, and anthracycline/epirubicin-based regimens all increased the incidence of CIA with pooled odds ratios of 2.25 (95 % CI 1.26-4.03, P = 0.006), 1.26 (95 % CI 1.11-1.43, P = 0.0003) and 1.39 (95 % CI 1.15-1.70, P = 0.0008), respectively. The three-drug combination regimens of cyclophosphamide,anthracycline/epirubicin, and taxanes (CAT/CET) caused the highest rate of CIA compared with the other three drug combinations (OR 1.41, 95 % CI 1.16-1.73, P = 0.0008). Tamoxifen therapy was also correlated with a higher incidence of CIA, with an OR of 1.48. Patients with CIA were found to exhibit better disease-free survival (DFS) and overall survival (OS) compared with patients without CIA. With respect to molecular subtype, this DFS advantage remained significant in hormone-sensitive patients (HR 0.61, 95 % CI 0.52-0.72, P < 0.00001). The current meta-analysis has demonstrated that anthracycline/epirubicin, taxanes, cyclophosphamide, and tamoxifen all contributed to elevated rates of CIA, and CIA was not merely a side effect of chemotherapy but was a better prognostic marker, particularly for ER-positive premenopausal early-stage breast cancer patients. However, this topic merits further randomized control studies to detect the associations between CIA and patient prognosis after adjusting for age, ER status, and other influential factors.

Crossover between breast and ipsilateral arm lymphatic drainage system contributes for ipsilateral arm lymph node metastasis. When ARM and SLNB are simultaneously performed in a patient, selectively preservation of the ARM nodes that do not coincided with SLNs would be safe, even if the SLNs are positive. Pathological lymph node status does not account for the occurrence of metastasis in ARM nodes. ARM nodes could be preserved safely, independent of the pathological lymph node status.

Chemotherapy resistance remains an important problem in the breast cancer clinic. The ability to predict the patients who would respond to a distinct therapy would help to optimize tailored treatment options. miRNAs can mediate a number of genes in response to drug-induced acute cellular stress. Several studies suggest that let-7 miRNA may be involved in the chemosensitivity of cancer cell lines in vitro. However, it is not known whether this phenomenon occurs in clinical breast tumors. The present study showed that lower let-7a expression was associated with epirubicin resistance in primary breast tumors. Moreover, upregulation of let-7a expression sensitized resistant breast tumor cell lines to epirubicin by enhancing cellular apoptosis in vitro. Collectively, these findings indicate that lower expression of let-7a miRNA can induce chemoresistance in breast cancer by enhancing cellular apoptosis and suggest that let-7a may be used as a therapeutic target to modulate epirubicin-based chemotherapy resistance.

BackgroundThe effect of breast cancer subtype on margin status after lumpectomy remains unclear. This study aims to determine whether approximated breast cancer subtype is associated with positive margins after lumpectomy, which could be used to determine if there is an increased risk of developing local recurrence (LR) following breast-conserving surgery.MethodsWe studied 1,032 consecutive patients with invasive cancer who received lumpectomies and cavity margin (CM) assessments from January 2003 to November 2012. The following data were collected: patient age, cT stage, pT stage, grade, status of CM, lymph node status, menopausal status, ER, PR, HER-2, and Ki67, as well as the presence of extensive intraductal component (EIC) and lymphovascular invasion (LVI). A χ2 test was used to compare categorical baseline characteristics. Univariate and multivariate logistic regression analyses were performed to evaluate associations between pathologic features of CM status. Kaplan-Meier actuarial cumulative rates of LR (ipsilateral in-breast) were calculated.ResultsA total of 7,884 pieces of marginal tissue were collected from 1,032 patients, and 209 patients had positive CMs. Of the patients tested, 52.3% had luminal A subtype, 14.9% were luminal B, 12.8% were luminal-HER-2, 8.1% were HER-2 enriched, and 11.8% were triple negative. Univariate analysis showed that EIC (P <0.001), LVI (P = 0.026), pN stage (N1 vs. N0: P = 0.018; N3 vs. N0: P <0.001), and luminal B (P = 0.001) and HER-2 (P <0.001) subtypes were associated with positive CMs. Multivariable analysis indicated that only EIC (P <0.001), pN stage (P = 0.003), and HER-2 subtype (P <0.001) were significantly correlated with positive CMs. On multivariable analysis, HER-2 subtype was an independent prognostic factor in LR (P = 0.031).ConclusionsThe HER-2 subtype was the predictive factor most associated with positive CMs and an independent prognostic factor for LR. This result suggests that the increased risk of LR in HER-2 breast cancer is due to an increased microscopic invasive tumor burden, which is indicated by margin status after lumpectomy.Electronic supplementary materialThe online version of this article (doi:10.1186/1477-7819-12-289) contains supplementary material, which is available to authorized users.