Objective To investigate the safety, economic benefits and psychological effects of day breast conserving surgery for breast cancer. Methods The demographic data and clinical data of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgeries in West China Hospital of Sichuan University from March 2020 to June 2021 were retrospectively collected; the demographic data, clinical data, medical and related transportation costs, and preoperative and postoperative BREAST-Q scores of breast cancer patients undergoing day (day surgery group) and ward (ward surgery group) breast conserving surgery in West China Hospital of Sichuan University from June 2021 to June 2022 were prospectively collected. The safety, economic benefit, and psychological satisfaction of day surgery was analyzed. Results A total of 42 women with breast cancer were included in the retrospective study and 39 women with breast cancer were included in the prospective study. In both prospective and retrospective studies, the mean age of patients in both groups were <50 years. There were only statistical differences between the two groups in the aspects of hypertension (P=0.022), neoadjuvant chemotherapy (P=0.037) and postoperative pathological estrogen receptor (P=0.033) in the prospective study. In postoperative complications, there were no statistical differences in the surgical-related complications or anesthesia-related complications between the two groups in either the prospective study or the retrospective study (P>0.05). In terms of the overall cost, we found that the day surgery group was more economical than the ward surgery group in the prospective study (P=0.002). There were no statistical differences in postoperative psychosocical well-being, sexual well-being, satisfaction with breasts or chest condition between the two groups (P>0.05). Conclusion It is safe and reliable to carry out breast conserving surgery in day surgery center under strict management standards, which can save medical costs and will not cause great psychological burden to patients.

Objective To evaluate the effectiveness of thermal tomography in breast cancer (BC) screening. Methods We conducted a general population-based BC screening in three regions of Hubei Province (Xiantao, Hongan, and Yangxin Districts). Participants underwent a questionnaire-based interview for baseline data collection. They then received a physical examination, thermal tomography, and ultrasound from doctors and technicians. We compared the efficacies, including sensitivity, specificity, and false-positive rates, of ultrasound and thermal tomography in BC screening. Results A total of 59 712 eligible women were included in this screening program. The BI-RADS 1, 2, 3, 4, and 5 accordance rates between the two screening methods were 0.9549, 0.8047, 0.9037, 0.3352, and 0, respectively. The overall accordance rate was 0.933 1. The kappa consistency results showed that the Cicchetti-Allison and Fleiss-Cohen kappa values were 0.7970 and 0.8583, respectively. Although the two methods had equal sensitivities, specificity was higher in thermal tomography than in ultrasound. The false-positive rate was lower in thermal tomography than in ultrasound. The area under the receiver operating characteristic (ROC) curve of thermal tomography was significantly larger than that of ultrasound. Conclusion The general consistency between thermal tomography and ultrasound in BC screening was high. Thermal tomography outperformed ultrasound in terms of specificity and diagnostic efficiency. Therefore, thermal tomography has a high application value for general population-based BC screening.

Objective To analyze the risk factors associated with the occurrence of rectal neuroendocrine tumors (RNETs) and construct a risk prediction model. Methods Clinical data of patients who underwent electronic colonoscopy were collected. The clinical information on patients with and without RNETs were compared, and potential risk factors for RNETs were identified. Binary logistic regression was performed to analyze the relevant risk factors and construct a risk prediction model. Results Among 164 patients, 66 were diagnosed with RNETs, and 98 who did not have such a condition were randomly selected. Univariate logistic regression analysis revealed that age, fatty liver, anxiety and depression, total cholesterol, triglyceride levels, and carcinoembryonic antigen (CEA) were significant factors influencing the occurrence of RNETs (P<0.05). Multivariate logistic regression analysis identified age (P=0.015), anxiety and depression (P=0.031), cholesterol level (P=0.009), fatty liver (P=0.001), and CEA (P<0.001) as independent risk factors for RNETs. The participants were randomly divided into training and test sets at a 7:3 ratio. The training set was used to construct a nomogram-based risk prediction model, and the testing set was used for internal validation. The area under the curve values for the training and testing sets were 0.843 and 0.772, respectively (P>0.05). These findings indicate a good discriminative performance. The calibration curves for the training and testing sets were in good agreement with the 45° standard line, which suggests that the predicted probabilities were consistent with the actual outcomes. Decision curve analysis showed that the model provided a high net benefit within a threshold range of 0.2 to 0.7 for clinical decision making. Conclusion Young age, fatty liver, high CEA levels, high cholesterol levels, and anxiety and depression are independent risk factors for RNETs. The nomogram model constructed based on these risk factors exhibits a strong capability to predict the occurrence of RNETs, and clinical intervention can be considered based on the predicted probability values.

[摘 要] 目的：观察白细胞介素-37（IL-37）在乳腺癌患者的表达变化对CD8+ T细胞活性的影响。方法：纳入2020年7月至2022年9月在新乡医学院第一附属医院就诊的46例乳腺癌患者、24例乳腺良性肿瘤患者、20例对照者。采集外周血，分离血浆和外周血单个核细胞（PBMC），收集接受手术治疗的乳腺癌患者肿瘤组织和癌旁组织，分离组织中肿瘤浸润淋巴细胞（TIL），纯化CD8+ T细胞。ELISA法检测IL-37、可溶型单免疫球蛋白IL-1受体相关蛋白（SIGIRR）表达，实时定量PCR法检测组织中IL-37 mRNA，流式细胞术检测CD8+ T细胞中IL-18受体α链（IL-18Rα）和SIGIRR表达。外源性IL-37刺激纯化的CD8+ T细胞，与乳腺癌细胞系MCF-7共培养，通过测定乳酸脱氢酶水平计算靶细胞死亡比例，ELISA法检测上清中穿孔素、颗粒酶B、干扰素-γ（IFN-γ）、肿瘤坏死因子-α（TNF-α）水平。结果：乳腺癌患者血浆IL-37水平高于乳腺良性肿瘤患者[（554.17 ± 96.63）pg/mL vs （499.52 ± 78.66）pg/mL，P = 0.020]和对照者[（483.97 ± 47.23）pg/mL，P = 0.003]。乳腺癌患者肿瘤组织中IL-37 mRNA相对表达量高于癌旁组织[（1.88 ± 0.21） vs （1.00 ± 0.53）pg/mL，P < 0.001]。外周血IL-18Rα+ CD8+细胞比例、SIGIRR+ CD8+细胞比例、血浆可溶型SIGIRR水平在乳腺癌患者、乳腺良性肿瘤患者、对照者之间的差异无统计学意义（均P > 0.05）。CD8+ TIL表达IL-18Rα和SIGIRR的比例在肿瘤组织和癌旁组织之间的差异无统计学意义（P > 0.05）。重组人IL-37刺激后，CD8+ T细胞诱导靶细胞死亡比例、上清中IFN-γ和TNF-α水平在直接接触和间接接触共培养系统中均低于无刺激（均P < 0.05）。在直接接触共培养系统中，IL-37刺激后上清中穿孔素和颗粒酶B水平均低于无刺激（均P < 0.001），但在间接接触共培养系统中，上清中穿孔素和颗粒酶B水平在无刺激和IL-37刺激之间的差异无统计学意义（均P > 0.05）。结论：乳腺癌患者中IL-37水平升高可能参与诱导外周血和肿瘤微环境中CD8+ T细胞功能衰竭。

Thyroid nodules are a common endocrine disorder, and their early detection and accurate diagnosis are crucial for the prevention of thyroid cancer. However, the highly heterogeneous morphology and boundaries of thyroid nodules pose significant challenges to their precise identification and classification. Traditional diagnostic approaches rely heavily on physicians' experience, which increases the risk of misdiagnosis and missed diagnoses. With the rapid advancement of computer-aided diagnosis (CAD) technologies, applying deep learning algorithms to the analysis of thyroid nodule ultrasound images has shown great potential. This paper reviews the latest research progress on deep learning-based CAD methods for thyroid nodules, with a focus on their applications in image preprocessing, segmentation and classification. The advantages and limitations of current techniques are analyzed, and potential future directions are discussed. This review aims to highlight the potential of deep learning in thyroid nodule diagnosis and to provide a foundation for selecting feasible pathways for future clinical applications.
Humans ; Thyroid Nodule/diagnostic imaging* ; Deep Learning ; Ultrasonography/methods* ; Diagnosis, Computer-Assisted/methods* ; Algorithms ; Thyroid Neoplasms/diagnostic imaging* ; Image Processing, Computer-Assisted/methods*

With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies significantly among patients, underscoring the importance of predicting pathological complete response (pCR) following NAC. Early research relied on statistical methods to integrate clinical data for predicting treatment outcomes. With the advent of artificial intelligence (AI), traditional machine learning approaches were subsequently employed for efficacy prediction. Deep learning emerged to dominate this field, and demonstrated the capability to automatically extract imaging features and integrate multimodal data for pCR prediction. This review comprehensively examined the applications and limitations of these three methodologies in predicting breast cancer pCR. Future efforts must prioritize the development of superior predictive models to achieve precise predictions, integrate them into clinical workflows, enhance patient care, and ultimately improve therapeutic outcomes and quality of life.
Humans ; Breast Neoplasms/pathology* ; Neoadjuvant Therapy ; Artificial Intelligence ; Female ; Machine Learning ; Deep Learning ; Chemotherapy, Adjuvant ; Treatment Outcome

The tumor microenvironment (TME) is a critical determinant of tumor initiation, progression, and therapeutic response, and serves as the basis for designing precise delivery strategies. Its marked heterogeneity underscores the need for a more comprehensive understanding of its composition and function. In addition to the extensively studied classical TME, emerging evidence highlights the significant roles of the tumor mechanical microenvironment and the tumor microbial microenvironment in modulating treatment efficacy. These non-classical dimensions not only independently influence tumor behavior but also interact dynamically with classical TME components. Mechanical cues within the TME, including matrix stiffness and solid stress, significantly affect drug distribution and treatment efficacy, suggesting that mechanical remodeling represents a potential strategy to enhance therapeutic outcomes. Concurrently, tumor-associated microbiota and their metabolites participate in immune regulation and metabolic reprogramming, contributing to tumor development and offering novel therapeutic targets. Moreover, recent advances have broadened our understanding on the multilayered regulatory landscape of the TME through the investigation of previously underappreciated factors such as neural regulation, metabolic niche dynamics, spatiotemporal heterogeneity, and epigenetic modulation. This review systematically summarizes the characteristics of these diverse TME dimensions and highlights recent progress in targeted delivery strategies, to facilitate the development of more personalized and effective anticancer therapies.
Humans ; Tumor Microenvironment ; Neoplasms/pathology* ; Drug Delivery Systems ; Antineoplastic Agents/administration & dosage*

OBJECTIVES: Increasing detection of low-risk papillary thyroid carcinoma (PTC) is associated with overdiagnosis and overtreatment. N6-methyladenosine (m⁶A)-mediated microRNA (miRNA) dysregulation plays a critical role in tumor metastasis and progression. However, the functional role of m⁶A-miRNAs in PTC remains unclear. This study aims to elucidate the regulatory mechanism of m⁶A-miR-139-5p expression in PTC, determine its association with PTC metastasis, and evaluate its potential as a diagnostic biomarker for PTC metastasis, thereby providing experimental evidence for precision diagnosis and therapy. METHODS: Expression profiles of m⁶A-miRNAs were compared between the The Cancer Genome Atlas (TCGA) and GSE130512 cohorts to identify metastasis-associated candidates. Clinical specimens from 13 metastasis and 18 non-metastasis PTC patients were analyzed to assess m⁶A-miR-139-5p expression and its correlation with metastasis. Functional experiments were conducted to investigate the effect of fat mass and obesity-associated protein (FTO) on pri-miR-139 methylation and processing, clarifying its regulatory role in miR-139-5p expression. In TPC-1 cells, MTT assays were performed to evaluate whether miR-139-5p overexpression could counteract FTO-mediated cell proliferation. Transwell invasion assays were used to determine the impact of miR-139-5p on PTC cell invasion, exploring whether it functions through the ZEB1/E-cadherin axis. RESULTS: By comparing TCGA and GSE130512 cohorts, it was found that circulating m⁶A-miR-139-5p could serve as a biological indicator for detecting PTC metastasis. Detection of 13 metastatic and 18 non-metastatic clinical specimens showed that FTO inhibited the processing of pri-miR-139 by reducing its methylation level, leading to the dysregulation of miR-139-5p in PTC (P<0.05). In TPC-1 cells, MTT assay showed that overexpression of miR-139-5p could partially reverse FTO overexpression-mediated cell proliferation (P<0.05). In addition, miR-139-5p inhibited the invasive ability of PTC cells by targeting the ZEB1/E-cadherin axis, while FTO overexpression could partially weaken this inhibitory effect. CONCLUSIONS Circulating miR-139-5p can be a potential marker for evaluating PTC metastasis. FTO affects the expression and function of miR-139-5p by regulating m⁶A modification of pri-miR-139, but its clinical value needs further verification.
Humans ; MicroRNAs/metabolism* ; Thyroid Cancer, Papillary/metabolism* ; Alpha-Ketoglutarate-Dependent Dioxygenase FTO/metabolism* ; Thyroid Neoplasms/metabolism* ; Cell Line, Tumor ; Neoplasm Metastasis ; Adenosine/genetics* ; Gene Expression Regulation, Neoplastic ; Female ; Male ; Cadherins/metabolism* ; Cell Proliferation ; Zinc Finger E-box-Binding Homeobox 1/genetics*

Female ; Humans ; Breast Neoplasms ; Testosterone ; Prolactin ; Estradiol ; Testosterone Congeners ; China

[摘 要] 目的：探究甘露糖结合凝集素2（LMAN2）在激素受体（HR）阳性乳腺癌组织中的表达水平与乳腺癌患者预后的关系及其对MCF-7 细胞增殖和迁移的影响。方法：通过TCGA、Bc-GenExMiner、GEPIA和Kaplan-Meier Plotter数据库分析LMAN2在乳腺癌组织和正常乳腺组织中的差异性表达及其与患者预后的关系。采用小RNA干扰技术将si-LMAN2#1、si-LMAN2#2及si-NC转染至MCF-7细胞，将过表达LMAN载体（pc-LMAN）及空载体pcDNA3.1阴性对照（pc-NC）转染至MCF-7细胞，实验分为si-LMAN2#1、si-LMAN2#2、si-NC、pc-LMAN2和pc-NC组。通过qPCR和WB实验检测各组细胞中LMAN2 mRNA和蛋白的表达水平，CCK-8、克隆形成、Transwell迁移、WB等实验检测敲低和过表达LMAN 2对MCF-7细胞增殖、克隆形成、迁移及AKT信号通路相关蛋白表达的影响。结果：LMAN2在乳腺癌组织中的表达水平显著高于正常乳腺组织（P<0.001）。HR阳性乳腺癌组织中LMAN2表达水平显著高于HR阴性乳腺癌组织（P<0.001）；LMAN2高表达与HR阳性乳腺癌患者不良预后有关联。敲低LMAN2可显著降低MCF-7细胞的增殖和迁移能力（P<0.01或P<0.001），过表达LMAN2可显著提高MCF-7细胞的增殖和迁移能力（均P<0.001）。敲低LMAN2组MCF-7细胞中PTEN和P21蛋白表达水平均显著升高，p-AKT蛋白表达水平显著降低（均P<0.01）。结论：LMAN2在乳腺癌组织和HR阳性乳腺癌组织中高表达，且与不良预后有关联。LMAN2高表达与MCF-7细胞增殖和迁移有关联，其作用机制可能涉及AKT信号通路。