[摘 要] 目的：探讨DNA甲基转移酶1（DNMT1）通过稳定zeste基因增强子同源物2（EZH2）促进结直肠癌（CRC）HCT8细胞增殖与迁移的机制。方法：利用生物信息学方法分析DNMT1在CRC组织中的表达水平。WB法检测DNMT1在CRC细胞HCT8、SW620和正常结肠上皮细胞NCM460中的表达。通过siRNA或慢病毒载体转染HCT8细胞，分为siNC组、siDNMT1组、Vector组、DNMT1-OE组、siTRAF6组、siEZH2组、siEZH2 + DNMT1-OE组。采用克隆形成实验、CCK-8法、Transwell实验和划痕愈合实验检测敲低或过表达DNMT1对HCT8细胞增殖与迁移的影响，WB和qPCR法检测EZH2蛋白和mRNA水平，免疫沉淀（IP）法检测EZH2泛素化水平，免疫荧光双染检测肿瘤坏死因子受体相关因子6（TRAF6）与EZH2的细胞内共定位情况，克隆形成和划痕愈合实验验证EZH2对DNMT1功能的逆转作用。收集2022—2025年间郑州大学附属洛阳中心医院手术切除的12例CRC患者的癌及癌旁组织标本，采用免疫组化法检测CRC组织中DNMT1、TRAF6和EZH2的表达水平。结果：DNMT1在CRC组织中表达显著高于癌旁组织（P < 0.01），且在CRC细胞中表达上调（P < 0.05）；DNMT1敲低显著抑制HCT8细胞增殖及迁移（均P < 0.01），过表达则相反（均P < 0.01）。DNMT1正向调控EZH2的蛋白水平（P < 0.01），而mRNA水平不变（P > 0.05）。MG132可恢复siDNMT1组的EZH2蛋白表达（P < 0.01），且siDNMT1组EZH2泛素化水平升高。DNMT1负向调控TRAF6的表达（P < 0.01），且TRAF6与EZH2在细胞质中共定位，IP证实两者直接结合。敲低TRAF6可减弱EZH2的泛素化水平，敲低EZH2可逆转DNMT1对HCT8细胞增殖、迁移的促进作用（均P < 0.01）。DNMT1和EZH2在CRC组织中呈高表达（P < 0.01），TRAF6在CRC组织中表达显著低于癌旁组织（P < 0.05）。结论：DNMT1通过抑制TRAF6稳定EZH2促进CRC细胞的增殖和迁移，DNMT1、TRAF6和EZH2可能是CRC治疗的潜在靶点。

Pulmonary rehabilitation (PR) has become an indispensable component of the modern care continuum for lung cancer. Substantial evidence confirms its definitive value in improving perioperative outcomes, mitigating treatment-related side effects, and enhancing quality of life in patients with advanced disease. However, a significant "implementation gap" exists between its proven clinical benefits and widespread application, primarily characterized by the lack of standardized protocols, uncertainty in optimal timing, and low patient adherence. Bridging this gap requires a dual-driven approach: harnessing technological innovations such as telerehabilitation, wearable devices, and artificial intelligence to enhance accessibility and personalization, alongside optimizing care models through multidisciplinary team collaboration. This review systematically analyzes the evidence, implementation barriers, and innovative pathways for PR in lung cancer care, aiming to catalyze its transition from an ancillary option to a core standard of care, and envisions a new paradigm of personalized PR that is patient-centered, data-driven, and technologically integrated.

Cancer has become a significant global public health issue， severely impacting public health and societal development. Despite advances in tumor treatment methods in recent years and a gradual decline in cancer mortality rates， drug-related adverse reactions and drug resistance remain substantial challenges. Traditional Chinese medicine （TCM） has demonstrated significant clinical efficacy in cancer treatment and small side effects， making it widely applied in the field of oncology. Xuefu Zhuyutang， derived from Yilin Gaicuo， is known for its abilities to invigorate blood circulation， dispel blood stasis， promote Qi flow， and alleviate pain. It was specifically formulated by the esteemed WANG Qingren of the Qing dynasty for the "blood stasis syndrome in the blood mansion" and is commonly used to treat Qi stagnation and blood stasis syndrome. Clinical studies have shown that Xuefu Zhuyutang， when combined with conventional Western medications， produces significant effects in the treatment of malignant tumors such as liver cancer， lung cancer， and cervical cancer. It substantially reduces the incidence of adverse reactions following Western treatments， including radiation esophagitis， radiation encephalopathy， radiation-induced oral mucositis， and edema. Additionally， it alleviates cancer-related pain and fever， blood hypercoagulability， and associated complications such as depression and anxiety， and also mitigates chemotherapy-induced side effects like hand-foot syndrome. Basic research has demonstrated its potential anti-tumor mechanisms， including the inhibition of Wnt/β-catenin signaling pathway activation， suppression of mitogen-activated protein kinase （MAPK） pathway activation， and anti-tumor angiogenesis. Pharmacological studies have revealed that its active components inhibit tumor cell proliferation and migration， induce tumor cell apoptosis， suppress tumor angiogenesis， enhance the cytotoxicity of natural killer cells against tumors， improve the tumor microenvironment， and regulate immune function. This paper reviewed the latest research progress on Xuefu Zhuyutang in the treatment of malignant tumors from four aspects： theoretical exploration， clinical studies， mechanisms of action， and pharmacological basis， aiming to provide insights and methods for the clinical diagnosis and treatment of malignant tumors.

Cancer has become a significant global public health issue， severely impacting public health and societal development. Despite advances in tumor treatment methods in recent years and a gradual decline in cancer mortality rates， drug-related adverse reactions and drug resistance remain substantial challenges. Traditional Chinese medicine （TCM） has demonstrated significant clinical efficacy in cancer treatment and small side effects， making it widely applied in the field of oncology. Xuefu Zhuyutang， derived from Yilin Gaicuo， is known for its abilities to invigorate blood circulation， dispel blood stasis， promote Qi flow， and alleviate pain. It was specifically formulated by the esteemed WANG Qingren of the Qing dynasty for the "blood stasis syndrome in the blood mansion" and is commonly used to treat Qi stagnation and blood stasis syndrome. Clinical studies have shown that Xuefu Zhuyutang， when combined with conventional Western medications， produces significant effects in the treatment of malignant tumors such as liver cancer， lung cancer， and cervical cancer. It substantially reduces the incidence of adverse reactions following Western treatments， including radiation esophagitis， radiation encephalopathy， radiation-induced oral mucositis， and edema. Additionally， it alleviates cancer-related pain and fever， blood hypercoagulability， and associated complications such as depression and anxiety， and also mitigates chemotherapy-induced side effects like hand-foot syndrome. Basic research has demonstrated its potential anti-tumor mechanisms， including the inhibition of Wnt/β-catenin signaling pathway activation， suppression of mitogen-activated protein kinase （MAPK） pathway activation， and anti-tumor angiogenesis. Pharmacological studies have revealed that its active components inhibit tumor cell proliferation and migration， induce tumor cell apoptosis， suppress tumor angiogenesis， enhance the cytotoxicity of natural killer cells against tumors， improve the tumor microenvironment， and regulate immune function. This paper reviewed the latest research progress on Xuefu Zhuyutang in the treatment of malignant tumors from four aspects： theoretical exploration， clinical studies， mechanisms of action， and pharmacological basis， aiming to provide insights and methods for the clinical diagnosis and treatment of malignant tumors.

Antibody-drug conjugates （ADCs） are a novel class of anti-tumor agents composed of a targeted monoclonal antibody， a cytotoxic drug， and a linker connecting the two. They combine the high specificity of antibodies with the potent cytotoxicity of chemotherapeutic agents. Triple-negative breast cancer （TNBC） is characterized by high aggressiveness， elevated risks of recurrence and metastasis， and poor prognosis， largely due to the lack of effective therapeutic targets. This review summarizes the research progress of ADCs in the treatment of TNBC. It has been found that ADCs targeting human epidermal growth factor receptor 2 （such as trastuzumab deruxtecan）， trophoblast cell surface antigen 2 （such as sacituzumab govitecan and datopotamab deruxtecan）， zinc transporter LIV-1 （such as ladiratuzumab vedotin）， HER-3 （such as patritumab deruxtecan）， epidermal growth factor receptor （such as AVID100）， and glycoprotein non-metastatic melanoma protein B （such as glembatumumab vedotin） have all demonstrated promising therapeutic effects against TNBC. Despite challenges including acquired resistance and treatment-related toxicities， ADCs are undoubtedly reshaping the therapeutic landscape for TNBC and are expected to occupy a more central position in TNBC treatment in the future.

OBJECTIVE: To analyze the clinical characteristics of patients with 11q23 rearrangement acute lymphoblastic leukemia (ALL) with non-KMT2A::AFF1 fusion genes. METHODS: The clinical data of 10 patients with KMT2A fusion gene positive and partner gene non-AFF1 ALL admitted to Henan Cancer Hospital from December 2016 to December 2024 were retrospectively summarized. The immunophenotype, molecular genetic characteristics, clinical manifestations and disease prognosis of these patients were analyzed. This research has been approved by the Medical Ethics Committee of Henan Cancer Hospital (Ethics No.: 2019342). RESULTS: Among the 10 patients, the fusion genes were KMT2A::MLLT1 in 7 cases, KMT2A::MLLT4, KMT2A::MLLT3 and KMT2A::MLLT10 in 1 case each. The European Group for the Immunological Classification of Leukemias (EGIL) classification included 6 cases of T-ALL, 2 cases of pro-B-ALL, 1 case of Common-B-ALL and 1 case of pre-B-ALL. 4 cases of B-ALL all expressed CD19, cCD79a, CD38 and HLA-DR, and some expressed CD34 and CD22, without expression or weak expression of CD10, without expression of CD20. One case was accompanied by myeloid marker CD15 expression. 6 cases of T-ALL all expressed CD34, CD7, most expressed CD38, and some expressed CD3, CD5, CD2, CD4 and CD8, and 1 case expressed CD4 and CD8 together. Chromosomal abnormalities were detected in 3 cases, 5 cases were positive for WT1 fusion gene, and 6 cases had gene alterations. 9 patients achieved the first complete remission (CR1) during chemotherapy, and 1 patient relapsed within 6 months after CR1. At the last follow up, 1 patient (the fusion gene was KMT2A::MLLT4) remained unrelieved. There were 2 cases of KMT2A rearrangement (KMT2A-r) persistent positive (+/+) and 8 cases of KMT2A-r negative (+/-). The overall survival (OS) rate and leukemia-free survival (LFS) rate of patients with KMT2A-r persistent positive were significantly lower than those of patients with negative change, and the differences were statistically significant (P values were all < 0.05). Among the 3 patients who received chemotherapy+allogeneic hematopoietic stem cell transplantation (allo-HSCT), no relapse was observed until the follow up day. The OS rate and LFS rate of patients with KMT2A::MLLT1 and chemotherapy+allo-HSCT were higher than those of non-KMT2A::MLLT1 and single chemotherapy patients, and the differences were not statistically significant (P values were all ≥ 0.05). There was no significant difference in OS rate and LFS rate between T-ALL and B-ALL patients (P values were all ≥ 0.05). The median LFS time of the 10 patients was 32 (0 ~ 100) months, and the median OS time was 36 (1 ~ 101) months. CONCLUSION The 11q23 rearrangement ALL with non-KMT2A::AFF1 transcript is mainly KMT2A::MLLT1, T-ALL is more common, and the rate of chromosomal karyotype detection is relatively low. Persistent positive KMT2A-r is unfavorable for patient survival, and allo-HSCT during the CR1 period may improve patient survival.
Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/genetics* ; Female ; Male ; Myeloid-Lymphoid Leukemia Protein/genetics* ; Histone-Lysine N-Methyltransferase/genetics* ; Adult ; Adolescent ; Chromosomes, Human, Pair 11/genetics* ; Child ; Transcriptional Elongation Factors/genetics* ; Gene Rearrangement ; Oncogene Proteins, Fusion/genetics* ; Retrospective Studies ; Young Adult ; Middle Aged ; Prognosis ; Child, Preschool ; DNA-Binding Proteins/genetics*

Objective: To investigate the regulatory role of Porphyromonas gingivalis(Pg) infection on the EGFR/GSK3β signaling axis, and its impact on epithelial-mesenchymal transition(EMT) and cetuximab(Ctx) resistance in esophageal squamous cell carcinoma(ESCC). Methods: Single cell RNA sequencing was employed to perform differential analysis of cellular subpopulations, identifying differentially expressed genes in ESCC tissues infected and non-infected with Pg. IHC was conducted to assess the expression of Pg and epidermal growth factor receptor(EGFR) in ESCC tissues. Western blot, RT-PCR, and IF staining were performed to evaluate EGFR expression in Pg infected ESCC cell lines KYSE70 and TE1. ESCC cells were treated with Pg and EGFR inhibitor Ctx, and divided into four groups: control(NC) group, Pg group, Ctx group, Pg+Ctx group. Cell proliferation, migration and invasion abilities were evaluated using CCK-8, plate cloning, wound healing and Transwell assay. Western blot analysis was performed to detect the expression of EMT and EGFR/GSK3β signaling pathway-associated proteins and their phosphorylation levels. Transforming growth factor-β1(TGF-β1) was used to induce EMT in ESCC cells, promoting a transition from the epithelial phenotype to mesenchymal-like phenotype. The differential effects of Ctx on these two phenotypic states were subsequently compared. Results: Epithelial cells were predominantly enriched in Pg-positive tissues, and Pg infection promoted the upregulation of EGFR expression in ESCC cells. Compared to the NC group, Pg treatment significantly enhanced the proliferation, invasion and migration capabili-ties of ESCC cells, and also increased chemoresistance to Ctx and reduced its antitumor efficacy. Pg induced EMT in ESCC cellsviathe EGFR/GSK3β signaling pathway. Notably, Ctx exhibited markedly weaker inhibitory effects on mesenchymal-like cells compared to epithelial ESCC cells. Conclusion Pg promotes ESCC cells proliferation, invasion and migration by regulating EMT through the EGFR/GSK3β signaling pathway, and enhances chemoresistance to Ctx.

Abstract Esophageal cancer is one of the most common malignant tumors of the digestive system in China , with e-sophageal squamous cell carcinoma (ESCC) being the predominant pathological type. The exact etiology of ESCC remains incompletely understood. With advances in 16S rRNA gene sequencing and metagenomics , microbial dys- biosis has been suggested to play a significant role in the pathogenesis of ESCC. Currently , research on the rela- tionship between microorganisms and ESCC is still in its early stages. This review summarizes the association be- tween oral and esophageal microbiota and ESCC , factors influencing microbial composition , and microbial commu- nities linked to ESCC prognosis , which may contribute to early detection and optimized treatment strategies for ES- CC.

Abstract Esophageal cancer is one of the most common malignant tumors of the digestive system in China , with e-sophageal squamous cell carcinoma (ESCC) being the predominant pathological type. The exact etiology of ESCC remains incompletely understood. With advances in 16S rRNA gene sequencing and metagenomics , microbial dys- biosis has been suggested to play a significant role in the pathogenesis of ESCC. Currently , research on the rela- tionship between microorganisms and ESCC is still in its early stages. This review summarizes the association be- tween oral and esophageal microbiota and ESCC , factors influencing microbial composition , and microbial commu- nities linked to ESCC prognosis , which may contribute to early detection and optimized treatment strategies for ES- CC.

Papillary thyroid carcinoma (PTC) can exhibit lateral neck lymph node metastasis at an early stage. Lateral neck lymph node metastasis is a crucial factor affecting the prognosis of PTC and is an absolute indication for neck lymph node dissection surgery. Additionally, it is a relative contraindication of endoscopic surgery for most medical centers. Therefore, the preoperative identification of lateral neck lymph node metastasis is vital for surgical decision-making and prognosis assessment. Ultrasound, CT, cytology, and clinical features can provide some information on lateral neck lymph node metastasis, but their accuracy does not fully meet clinical needs. Deep learning is a primary method for medical image recognition or feature extraction. In recent years, deep learning-based ultrasound, CT, cytology, conventional clinical parameters, or multimodal models combining these data have been developed and are expected to achieve routine clinical application. With the establishment and sharing of large datasets, automated annotation, algorithm optimization, and resolution of data security issues, deep learning is expected to accurately predict lateral neck lymph node metastasis in PTC. Furthermore, it can be integrated into electronic medical record systems for automated real-time analysis and assist clinical decision-making.