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Breast cancer, a heterogeneous disease, is notable for its high morbidity, recurrence, and mortality. T3N0M0 is controversial in terms of clinical prognosis and therapeutic decision-making. We collected baseline and treatment information on patients with T3N0M0 between 2010 and 2015 from the Surveillance, Epidemiology, and End Results programme (SEER) database. Univariate analyses of clinicopathological characteristics were performed using the log-rank test, while variables that were statistically significant ( p  < 0.05) were included in multivariate analyses to identify prognostic risk factors included in the construction of nomograms. Receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA) curves were applied to evaluate the nomogram. We obtained a total of 4,641 patient clinical characteristics from the SEER database. In T3N0M0 group, the overall survival (OS) for 3, 5 and 10 years was 87.1%, 79.5% and 71.6%, and breast cancer-specific survival (BCSS) was 92.0%, 88.1% and 85.3%, respectively. We ultimately identified eight variables (age, grade, surgery, radiation, chemotherapy, ER-status, PR-status, Her2-status) were associated with OS while seven variables (age, grade, surgery, radiation, chemotherapy, PR-status, Her2-status) were associated with BCSS. The nomogram was constructed based on independent prognostic risk factors, the area under the curve (AUC) values were well performed, the ROC curves, calibration curves and DCA curves all indicated that the nomogram had better clinical practicability. The current study provides a new clinical assessment tool for T3N0M0 breast cancer patients, as well as a reference for clinicians in selecting management decisions.

Introduction Metachronous bilateral ectopic breast cancer (MBEBC) is clinically rare, but the incidence has been increasing in recent years and no clear therapeutic guidance or prognostic assessment is available. Methods Data on MBEBC patients from the Surveillance, Epidemiology, and End Results (SEER) database were gathered and randomly split into a training set and a validation set at a 7:3 ratio. Independent prognostic risk factors were identified through both univariate and multivariate analyses, and a nomogram was constructed based on these factors to predict survival outcomes. Results From the SEER database, we collected data on a total of 8240 patients spanning the years 2005–2015. These patients were then randomly divided into a training set (5768) and a validation set (2472) for analysis. The clinicopathological features indicated that Grade 2 tumors were the most prevalent, with invasive ductal carcinoma comprising 71.2% of the cases. Additionally, the majority of MBEBC patients were classified as N0, and only a small fraction (4.2%) exhibited distant metastases. A multivariate COX regression model was developed to identify independent prognostic risk factors for patients whose first and second tumors were both invasive ductal carcinomas, as well as those with more extensive pathological types. Nomograms were also constructed for survival prediction of overall survival (OS) and breast cancer-special survival (BCSS) at 3, 5, and 10 years. Receiver operating characteristic (ROC) curves were plotted and area under the curve (AUC) values were calculated. The AUC was greater than 0.7 in all models, with a 10-year OS of 78.0 (76.0–80.0) and a BCSS of 77.6 (76.0–79.3) in all patients. The calibration curves and decision curve analysis (DCA) demonstrate that the nomogram possesses strong clinical predictive capability and high predictive accuracy. Conclusion This study detailed the clinicopathological characteristics of patients with the clinically rare MBEBC and identified independent prognostic risk factors across various pathology types. Additionally, a nomogram was developed for individualized prediction of patients' BCSS and OS, offering a new adjunctive tool for the clinical management of MBEBC patients.

Introduction Breast angiosarcoma is a rare malignancy of endovascular origin, accounting for less than 1% of all mammary cancers. Our aim was to explore clinicopathological features and the factors associated with prognosis. Methods We extracted information from the Surveillance, Epidemiology, and End Results Program (SEER) for all patients with breast angiosarcoma between 2004 and 2015. Chi-square analysis was used to compare the clinicopathological features in all patients. Overall survival (OS) was assessed using the Kaplan and Meier method. Univariate and multivariate analyses were performed to evaluate the factors associated with prognosis. Results A total of 247 patients were included in the analyses. The median OS of patients with primary breast angiosarcoma (PBSA) and secondary breast angiosarcoma (SBAB) was 38 months and 42 months, respectively. The 1-, 3- and 5-year OS with PBSA was 80%, 39%, and 25%, respectively, and the 1-, 3- and 5-year OS with SBAB was 80%, 42%, and 34%, respectively. Multivariate analysis revealed that tumor size ( p  = 0.001), tumor grade ( p  < 0.001), tumor extension ( p  = 0.015), and tumor spread ( p  < 0.001) were statistically significant factors for OS. Partial mastectomy with radiation (HR = 0.160, 95% CI, 0.036–0.719, p  = 0.016), partial mastectomy with chemotherapy (HR = 0.105, 95% CI, 0.011–1.015, p  = 0.052), and partial mastectomy (HR = 0.125, 95% CI, 0.028–0.583, p  = 0.007) were related to significantly better OS outcomes in primary angiosarcoma. Conclusion Primary breast angiosarcoma has a better clinical phenotype than secondary breast angiosarcoma. Although overall survival was not statistically significant, primary breast angiosarcoma was better than secondary breast angiosarcoma with systemic therapy. Depending on the outcome of survival, partial mastectomy is effective in treating primary breast angiosarcoma.

Background Neutrophil extracellular traps (NETs) are composed of DNA chains from neutrophils and associated proteolytic enzymes, which play an important role in cancer metastasis. However, the molecular mechanism of NET-mediated lung metastasis in triple-negative breast cancer (TNBC) remains unclear. Methods The expression levels of NETs in breast cancer specimens and serum were analyzed and compared with normal samples. Single-cell sequencing bioinformatics analysis was conducted to identify differentially expressed genes and functional enrichment related to NET formation in patients with breast cancer. The effects of c-FOS on neutrophil recruitment and NET formation in TNBC were investigated. The upstream and downstream regulatory mechanisms mediated by c-FOS were explored through in vitro and in vivo experiments. Therapeutic approaches targeting c-FOS for treating TNBC were further studied. Results Inhibition of c-FOS can suppress tumor growth and lung metastasis in TNBC. Mechanistically, c-FOS promotes transcription by binding to the PAD4 promoter region, facilitating the formation of NETs. Additionally, the activation of the ROS-p38 pathway further enhances c-FOS expression. High expression of c-FOS also promotes the expression of inflammatory factors, facilitating neutrophil recruitment. Both in vitro and in vivo experiments demonstrated that the application of T5224 effectively inhibits the formation of NETs, suppressing lung metastasis and tumor growth. Conclusion In summary, this study demonstrates that the ROS-p38-cFOS-PAD4 axis can increase NET formation in TNBC and promote the expression of inflammatory factors, facilitating neutrophil recruitment. Therefore, targeting this pathway may help inform new therapeutic strategies and provide new insights for immunotherapy in TNBC.

Gemcitabine is a cornerstone chemotherapeutic for pancreatic ductal adenocarcinoma (PDAC); however, the frequent development of resistance compromises its efficacy and poses a significant challenge to patient prognosis. Here, we report that nuclear pore protein NUP93 is upregulated in PDAC and correlates with poor patient survival. Functional studies demonstrated that NUP93 promotes PDAC cell proliferation and confers gemcitabine resistance by enhancing DNA damage repair. Mechanistically, NUP93 interacts with the transcription factor SOX2 by recognizing its nuclear localization sequence and facilitates its nuclear import. Nuclear SOX2 transcriptionally activates the key stress granule component G3BP1 by directly binding to its promoter. Subsequently, G3BP1 stabilizes the mRNA of RAD51 , a crucial homologous recombination repair factor, thereby promoting DNA damage repair and gemcitabine resistance. In vivo, disruption of the NUP93 / SOX2 / G3BP1 axis suppressed tumor growth and synergized with gemcitabine. Our findings unveil the novel NUP93 - SOX2 - G3BP1 signaling axis as a critical driver of gemcitabine resistance in PDAC, presenting a promising therapeutic target for overcoming chemoresistance.

Emerging scientific evidence has suggested that the long non-coding (lnc)RNA differentiation antagonizing non-protein coding RNA (DANCR) serves a significant role in human tumorigenesis and cancer progression; however, the precise mechanism of its function in breast cancer remains to be fully understood. Therefore, the objective of the present study was to manipulate DANCR expression in MCF7 and MDA-MB-231 cells using lentiviral vectors to knock down or overexpress DANCR. This manipulation, alongside the analysis of bioinformatics data, was performed to investigate the potential mechanism underlying the role of DANCR in cancer. The mRNA and/or protein expression levels of DANCR, miR-34c-5p and E2F transcription factor 1 (E2F1) were assessed using reverse transcription-quantitative PCR and western blotting, respectively. The interactions between these molecules were validated using chromatin immunoprecipitation and dual-luciferase reporter assays. Additionally, fluorescence in situ hybridization was used to confirm the subcellular localization of DANCR. Cell proliferation, migration and invasion were determined using 5-ethynyl-2′-deoxyuridine, wound healing and Transwell assays, respectively. The results of the present study demonstrated that DANCR had a regulatory role as a competing endogenous RNA and upregulated the expression of E2F1 by sequestering miR-34c-5p in breast cancer cells. Furthermore, E2F1 promoted DANCR transcription by binding to its promoter in breast cancer cells. Notably, the DANCR/miR-34c-5p/E2F1 feedback loop enhanced cell proliferation, migration and invasion in breast cancer cells. Thus, these findings suggested that targeting DANCR may potentially provide a promising future therapeutic strategy for breast cancer treatment.

With the manipulator performs fixed-point tasks, it becomes adversely affected by external disturbances, parameter variations, and random noise. Therefore, it is essential to improve the robust and accuracy of the controller. In this article, a self-tuning particle swarm optimization (PSO) fuzzy PID positioning controller is designed based on fuzzy PID control. The quantization and scaling factors in the fuzzy PID algorithm are optimized by PSO in order to achieve high robustness and high accuracy of the manipulator. First of all, a mathematical model of the manipulator is developed, and the manipulator positioning controller is designed. A PD control strategy with compensation for gravity is used for the positioning control system. Then, the PID controller parameters dynamically are minute-tuned by the fuzzy controller 1. Through a closed-loop control loop to adjust the magnitude of the quantization factors–proportionality factors online. Correction values are outputted by the modified fuzzy controller 2. A quantization factor–proportion factor online self-tuning strategy is achieved to find the optimal parameters for the controller. Finally, the control performance of the improved controller is verified by the simulation environment. The results show that the transient response speed, tracking accuracy, and follower characteristics of the system are significantly improved.

Monolayer transition metal dichalcogenides (TMDs) show promising potential for next-generation optoelectronics due to excellent light capturing and photodetection capabilities. Photodetectors, as important components of sensing, imaging and communication systems, are able to perceive and convert optical signals to electrical signals. Herein, the large-area and high-quality lateral monolayer MoS2/WS2 heterojunctions were synthesized via the one-step liquid-phase chemical vapor deposition approach. Systematic characterization measurements have verified good uniformity and sharp interfaces of the channel materials. As a result, the photodetectors enhanced by the photogating effect can deliver competitive performance, including responsivity of ~ 567.6 A/W and detectivity of ~ 7.17 × 1011 Jones. In addition, the 1/f noise obtained from the current power spectrum is not conductive to the development of photodetectors, which is considered as originating from charge carrier trapping/detrapping. Therefore, this work may contribute to efficient optoelectronic devices based on lateral monolayer TMD heterostructures.

Large-scale surfaces are prevalent in advanced manufacturing industries, and 3D profilometry of these surfaces plays a pivotal role for quality control. This paper proposes a novel and flexible large-scale 3D scanning system assembled by combining a robot, a binocular structured light scanner and a laser tracker. The measurement principle and system construction of the integrated system are introduced. A mathematical model is established for the global data fusion. Subsequently, a robust method is introduced for the establishment of the end coordinate system. As for hand-eye calibration, the calibration ball is observed by the scanner and the laser tracker simultaneously. With this data, the hand-eye relationship is solved, and then an algorithm is built to get the transformation matrix between the end coordinate system and the world coordinate system. A validation experiment is designed to verify the proposed algorithms. Firstly, a hand-eye calibration experiment is implemented and the computation of the transformation matrix is done. Then a car body rear is measured 22 times in order to verify the global data fusion algorithm. The 3D shape of the rear is reconstructed successfully. To evaluate the precision of the proposed method, a metric tool is built and the results are presented.

In order to ensure stable gripping performance of manipulator in a dynamic environment, a target object grab setting model based on the candidate region suggestion network is established with the multi-target object and the anchor frame generation measurement strategy overcoming external environmental interference factors such as mutual interference between objects and changes in illumination. In which, the success rate of model detection is improved by adding small-scale anchor values for small area grabbing target position detection. Further, 94.3% crawl detection success rate is achieved on the multi-target detection data sets using the information fusion of color image and depth image. The methods in this paper effectively improve the model’s robustness and crawl success rate.