OBJECTIVE: Huachansu injection (HCSI), a promising anti-cancer Chinese medicine injection, has been reported to have the potential for reducing the toxicity of chemotherapy and improving the quality of life for colorectal cancer (CRC) patients. The objective of this study is to explore the synergistic and detoxifying effects of HCSI when used in combination with irinotecan (CPT-11). METHODS: To investigate the effect of HCSI on anti-CRC efficacy and intestinal toxicity of CPT-11, we measured changes in the biological behavior of LoVo cells in vitro, and anti-tumor effects in LoVo cell xenograft nude mice models in vivo. Meanwhile, the effect of HCSI on intestinal toxicity and the uridine diphosphate-glucuronosyltransferase 1A1 (UGT1A1) expression was investigated in the CPT-11-induced colitis mouse model. Subsequently, we measured the effect of HCSI and its 13 constituent bufadienolides on the expression of UGT1A1 and organic anion transporting polypeptides 1B3 (OATP1B3) in HepG2 cells. RESULTS: The combination index (CI) results showed that the combination of HCSI and CPT-11 exhibited a synergistic effect (CI < 1), which significantly suppressing the LoVo cell migration, enhancing G2/M and S phase arrest, and inhibiting tumor growth in vivo. Additionally, the damage to intestinal tissues was attenuated by HCSI in CPT-11-induced colitis model, while the increased expression of UGT1A1 in HepG2 cells and in mouse was observed. CONCLUSION The co-therapy with HCSI alleviated the intestinal toxicity induced by CPT-11 and exerted an enhanced anti-CRC effect. The detoxifying mechanism may be related to the increased expression of UGT1A1 and OATP1B3 by HCSI and its bufadienolides components. The findings of this study may serve as a theoretical insights and strategies to improve CRC patient outcomes. Please cite this article as: Jiang B, Meng ZY, Hu YJ, Chen JJ, Zong L, Xu LY, Zhang XQ, Zhang JX, Han YL. Huachansu injection enhances anti-colorectal cancer efficacy of irinotecan and alleviates its induced intestinal toxicity through upregulating UGT1A1-OATP1B3 expression in vitro and in vivo. J Integr Med. 2025; 23(5):576-590.
Irinotecan/therapeutic use* ; Animals ; Glucuronosyltransferase/genetics* ; Humans ; Colorectal Neoplasms/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Mice, Nude ; Mice ; Up-Regulation/drug effects* ; Male ; Xenograft Model Antitumor Assays ; Mice, Inbred BALB C ; Hep G2 Cells ; Cell Line, Tumor ; Intestines/drug effects* ; Amphibian Venoms

OBJECTIVE: To explore clinical characteristics, lesion sites and correlation differences of different types of diabetic foot gangrene, and to provide evidence-based basis for clinical classification of diabetic foot gangrene. METHODS: A retrospective analysis was conducted on 266 patients with newly diagnosed diabetic foot gangrene who were admitted from January 2018 to December 2018, including 183 males and 83 females, aged from 35 to 92 years old with an average of (69.55±10.84) years old, and they were divided into wet gangrene group and dry gangrene group according to the different natures of gangrene. There were 139 patients in wet gangrene group, including 98 males and 41 females, aged from 35 to 90 years old with an average of (68.95±10.93) years old. There were 127 patients in dry gangrene group, including 85 males and 42 females, aged from 38 to 92 years old with an average of (70.21±10.75) years old. Body mass index (BMI), waist-to-hip ratio (WHR), body temperature, skin temperature difference between the affected and healthy sides of the lower extremities, and Wagner grade between two groups were recorded to evaluate symptoms and signs. The white blood cell count (WBC), neutrophil percentage (NEUT%), and C-reactive protein (C-reactive protein), erythrocyte sedimentation rate (ESR), procalcitonin (PCT), and interleukin-6 (IL-6) in peripheral blood between two groups were detected and compared to evaluate the infection status;the severity of diabetic peripheral neuropathy (DPN) was evaluated by using Toronto Clinical Scoring System (TCSS);the degree of pain in patients with diabetic foot gangrene was evaluated by numerical rating scale (NRS); ankle-brachial index (ABI) and popliteal artery blood flow velocity were used to evaluate the degree of arterial lesions. Spearman correlation analysis was used to analyze the correlations between gangrene TCSS, ABI and age, BMI, WHR, body temperature, calf skin temperature difference, WBC, NEUT%, CRP, ESR, PCT, IL-6, NRS, and Wagner classification indicators. RESULTS: The body temperature, skin temperature difference between the affected and healthy sides of the lower extremities, Wagner grade, WBC, NEUT%, CRP, ESR, PCT, IL-6, TCSS score, ABI, and popliteal artery blood flow velocity in wet gangrene group were higher than those in dry gangrene group (P<0.01), and BMI, WHR, and NRS score in dry gangrene group were higher than those in wet gangrene group;the differences were all statistically significant (P<0.01). The results of Spearman correlation analysis showed TCSS score of gangrene patients was correlated with body temperature (r=0.214), calf skin temperature difference (r=0.364), WBC (r=0.240), NEUT% (r=0.291), CRP (r=0.347), ESR (r=0.167), PCT (r=0.241), IL-6 (r=0.316), and popliteal fossa arterial blood flow velocity (r=0.261) and Wagner grade (r=0.273) were positively correlated, and the differences were statistically significant (P<0.01). ABI was negatively correlated with age (r=-0.183), BMI (r=-0.252), WHR (r=-0.288), and NRS score (r=-0.354), and the differences were statistically significant (P<0.01). CONCLUSION Diabetic foot gangrene is an extremely difficult and critical disease. Wet gangrene has a significant synergic effect with infection and neuropathy, while dry gangrene is closely related to vascular occlusion. The main contradiction of gangrene could be revealed through blood vessels, nerves and infection, providing evidence-based basis for the selection of debridement timing, anti-infection strategies and revascularization, with the aim of reducing the risk of amputation.
Humans ; Male ; Female ; Aged ; Middle Aged ; Diabetic Foot/diagnosis* ; Aged, 80 and over ; Adult ; Retrospective Studies ; Gangrene/physiopathology* ; C-Reactive Protein

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

To explore the mechanism of the active ingredients of Qishiwei Zhenzhu Pills in inhibiting the hepatorenal toxicity of the zogta component based on serum pharmacochemistry and network pharmacology, thereby providing references for the clinical safety application of Qishiwei Zhenzhu Pills. The small molecular compounds in the serum containing Qishiwei Zhenzhu Pills of mice were identified by high performance liquid chromatography-tandem mass spectrometry(HPLC-MS/MS). Then, by comprehensively using Traditional Chinese Medicines Systems Pharmacology(TCMSP), High-throughput Experiment-and Reference-guided Database(HERB), PubChem, GeneCards, SuperPred, and other databases, the active compounds in the serum containing Qishiwei Zhenzhu Pills were retrieved and their action targets were predicted. The predicted targets were compared with the targets of liver and kidney injury related to mercury toxicity retrieved from the database, and the action targets of Qishiwei Zhenzhu Pills to inhibit the potential mercury toxicity of zogta were screened out. Cytoscape was used to construct the active ingredient in Qishiwei Zhenzhu Pills-containing serum-action target network, and STRING database was used to construct the protein-protein interaction(PPI) network of intersection targets. The Gene Ontology(GO) and Kyoto Encyclopedia of Genes and Genomes(KEGG) enrichment analyses were carried out on the target genes by the DAVID database. The active ingredient-target-pathway network was constructed, and the key ingredients and targets were screened out for molecular docking verification. The results showed that 44 active compounds were identified from the serum containing Qishiwei Zhenzhu Pills, including 13 possible prototype drug ingredients, and 70 potential targets for mercury toxicity in liver and kidney were identified. Through PPI network topology analysis, 12 key target genes(HSP90AA1, MAPK3, STAT3, EGFR, MAPK1, APP, MMP9, NOS3, PRKCA, TLR4, PTGS2, and PARP1) and 6 subnetworks were obtained. Through GO and KEGG analysis of 4 subnetworks containing key target genes, the interaction network diagram of active ingredient-action target-key pathway was constructed and verified by molecular docking. It was found that taurodeoxycholic acid, N-acetyl-L-leucine, D-pantothenic acid hemicalcium, and other active ingredients may regulate biological functions and pathways related to metabolism, immunity, inflammation, and oxidative stress by acting on major targets such as MAPK1, STAT3, and TLR4, so as to inhibit the potential mercury toxicity of zogta in Qishiwei Zhenzhu Pills. In conclusion, the active ingredients of Qishiwei Zhenzhu Pills may have a certain detoxification effect, thus inhibiting the potential mercury toxicity of zogta and playing a role of reducing toxicity and enhancing effect.
Animals ; Mice ; Medicine, Tibetan Traditional ; Network Pharmacology ; Molecular Docking Simulation ; Tandem Mass Spectrometry ; Toll-Like Receptor 4 ; Medicine, Chinese Traditional ; Mercury ; Drugs, Chinese Herbal/toxicity*

OBJECTIVES: To investigate the incidence of extrauterine growth retardation (EUGR) and its risk factors in very preterm infants (VPIs) during hospitalization in China. METHODS: A prospective multicenter study was performed on the medical data of 2 514 VPIs who were hospitalized in the department of neonatology in 28 hospitals from 7 areas of China between September 2019 and December 2020. According to the presence or absence of EUGR based on the evaluation of body weight at the corrected gestational age of 36 weeks or at discharge, the VPIs were classified to two groups: EUGR group (n=1 189) and non-EUGR (n=1 325). The clinical features were compared between the two groups, and the incidence of EUGR and risk factors for EUGR were examined. RESULTS: The incidence of EUGR was 47.30% (1 189/2 514) evaluated by weight. The multivariate logistic regression analysis showed that higher weight growth velocity after regaining birth weight and higher cumulative calorie intake during the first week of hospitalization were protective factors against EUGR (P<0.05), while small-for-gestational-age birth, prolonged time to the initiation of total enteral feeding, prolonged cumulative fasting time, lower breast milk intake before starting human milk fortifiers, prolonged time to the initiation of full fortified feeding, and moderate-to-severe bronchopulmonary dysplasia were risk factors for EUGR (P<0.05). CONCLUSIONS It is crucial to reduce the incidence of EUGR by achieving total enteral feeding as early as possible, strengthening breastfeeding, increasing calorie intake in the first week after birth, improving the velocity of weight gain, and preventing moderate-severe bronchopulmonary dysplasia in VPIs.
Female ; Fetal Growth Retardation ; Gestational Age ; Hospitalization ; Humans ; Incidence ; Infant ; Infant, Newborn ; Infant, Premature ; Infant, Very Low Birth Weight ; Prospective Studies ; Risk Factors

Objective: To investigate the reduction effect of hoding cricoarytenoid joint reduction with visual laryngoscope under intravenous anesthesia. Methods: The therapeutic effects of 40 patients with arytenoid dislocation(AD)treated by closed reduction in the single center from January 2020 to September 2021 were retrospectively analyzed, including 21 males and 19 females, median age 48 years. The etiology, symptoms, preoperative evaluation methods, reduction mode, reduction times, and the recovery of arytenoid cartilage movement and sound after reduction were evaluated and analyzed. Results: All patients had obvious hoarseness and breath sound before treatment. Under stroboscopic laryngoscope or electronic nasopharyngoscope, different degrees of vocal cord movement disorder and poor glottic closure can be seen. There were 28 cases of left dislocation, 9 cases of right dislocation and 3 cases of bilateral dislocation. The etiology of dislocation of cricoarytenoid joint: 25 cases (62.5%) of tracheal intubation under general anesthesia were the most common causes, was as follows by laryngeal trauma, gastroscopy, cough, vomiting and so on. Among them, 28 cases of reduction were initially diagnosed in our department, and 12 cases were diagnosed later after failure of reduction treatment. Of the 40 patients, 6 underwent reduction 24 hours after dislocation; 18 cases from 3 days to 1 month; 7 cases from 1 to 3 months; 6 cases were reset in 3~6 months; Over 6 months in 3 cases. After one reduction, 10 cases (10/40, 25%) recovered normal pronunciation, 14 cases (14/40, 35%) recovered normal pronunciation after two reduction, 10 cases (10/40, 25%) recovered normal pronunciation after three times, 2 cases (2/40, 5%) recovered normal pronunciation after four times, and 1 case (2.5%) recovered normal pronunciation after five times. Thin slice CT scan of larynx and cricoarytenoid joint reconstruction showed the types of AD: subluxation in 37 cases (92.5%) and total dislocation in 3 cases; 28 cases of left dislocation, 9 cases of right dislocation and 3 cases of bilateral dislocation; 29 cases (72.5%) had posterior dislocation and 11 cases (27.5%) had anterior dislocation. All patients were treated by intravenous anesthesia with arytenoid cartilage clamped by cricoarytenoid joint reduction forceps under visual laryngoscope. The curative effect was evaluated by stroboscopic laryngoscope and/or voice analysis at 1-2 weeks after operation. The vocal cord movement returned to normal and the pronunciation was good in 37 cases (92.5%). Conclusions: Hoding cricoarytenoid joint reduction with the vision laryngoscope under intravenous anesthesia is easy to operate and the reduction effect is more stable. It is a effective method for AD.
Anesthesia, Intravenous/adverse effects* ; Arytenoid Cartilage/injuries* ; Female ; Humans ; Intubation, Intratracheal/adverse effects* ; Joint Dislocations/therapy* ; Laryngeal Diseases/etiology* ; Laryngoscopes/adverse effects* ; Male ; Middle Aged ; Retrospective Studies

With the increasing detection rate of early upper gastric cancer and adenocarcinoma of esophagogastric junction, the safety of proximal gastrectomy with clear indications has been verified, and function-preserving proximal gastrectomy has been widely used. However, proximal gastrectomy destructs the normal anatomical structure of esophagogastric junction, resulting in severe postoperative gastroesophageal reflux symptoms and seriously affecting the quality of life. Among various anti-reflux surgery methods, reconstruction of "cardiac valve" has always been the focus of relevant scholars because its similarity with the mechanism of normal anti-reflux. After years of development, evolution and optimization, the designed seromuscular flap anastomosis includes tunnel muscle flap anastomosis, Hatafuku valvuloplasty, single muscle flap anastomosis and double muscle flap anastomosis. The double muscle flap anastomosis has become a research hotspot because it shows good anti-reflux effect in clinical application. This paper reviews the history, research status and hot issues of seromuscular flap anastomosis of esophageal remnant stomach at home and abroad.
Anastomosis, Surgical/methods* ; Esophagogastric Junction/surgery* ; Gastrectomy/methods* ; Gastroesophageal Reflux/surgery* ; Humans ; Quality of Life ; Stomach Neoplasms/surgery*

Objective:To investigate the influencing factors and regularity of inferior mediastinal lymph node metastasis in Siewert type Ⅱ and Ⅲ adenocarcinoma of esophagogastric junction (AEG).Methods:The retrospective case-control study was conducted. The clinicopatho-logical data of 185 Siewert type Ⅱ and Ⅲ AEG patients in two medical centers (113 cases in Changzhi People's Hospital Affiliated to Changzhi Medical College and 72 cases in Heji Hospital Affiliated to Changzhi Medical College) from January 2017 to January 2022 were collected. There were 143 males and 42 females, aged (64±8)years. Patients underwent radical resection of AEG combined with inferior mediastinal lymph node dissection. Observation indicators: (1) clinicopathological charac-teristics of Siewert type Ⅱ and Ⅲ AEG patients; (2) analysis of influencing factors for inferior mediastinal lymph node metastasis in Siewert type Ⅱ and Ⅲ AEG; (3) regularity of inferior mediastinal lymph node metastasis in Siewert type Ⅱ and Ⅲ AEG. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were represented as absolute numbers or percentages, and comparsion between groups was analyzed using the chi-square test or Fisher exact probability. Comparison of ordinal data was analyzed using the rank sum test. Univariate and multivariate analyses were conducted using the Logistic regression model. Results:(1) Clinicopathological characteristics of Siewert type Ⅱ and Ⅲ AEG patients. Pathologic staging as stage Ⅰ, Ⅱ, Ⅲ and Ⅳ, degree of tumor invasion as stage T1, T2, T3 and T4, length of esophageal invasion ≤1 cm, >1 cm and ≤2 cm, >2 cm and ≤3 cm, >3 cm and ≤4 cm were found in 30, 61, 75, 7, 3, 41, 79, 50, 101, 46, 18, 8 cases of the Siewert type Ⅱ and Ⅲ AEG patients without inferior mediastinal lymph node metastasis, respectively, versus 0, 2, 10, 0, 0, 0, 5, 7, 4, 3, 2, 3 cases of the Siewert type Ⅱ and Ⅲ AEG patients with inferior mediastinal lymph node metastasis, showing a significant differences between them ( Z=?2.21, ?2.49, ?2.22, P<0.05). (2) Analysis of influencing factors for inferior mediastinal lymph node metastasis in Siewert type Ⅱ and Ⅲ AEG. Results of univariate analysis showed that pathological staging, depth of tumor invasion and length of esophageal invasion were related factors affecting inferior mediastinal lymph node metastasis in Siewert type Ⅱ and Ⅲ AEG ( odds ratio=2.48, 3.26, 2.03, 95% confidence intervals as 1.02?6.01, 1.21?8.80, 1.18?3.51, P<0.05). Results of multivariate analysis showed that depth of tumor invasion and length of esophageal invasion were independent influening factors affecting inferior mediastinal lymph node metastasis in Siewert type Ⅱ and Ⅲ AEG ( odds ratio=4.01, 2.26, 95% confidence interval as 1.35?11.96, 1.26?4.06, P<0.05). The inferior mediastinal lymph node metastasis probability of AEG patients with the length of esophageal invasion >3 cm and ≤4 cm was 9.47 times that of AEG patients with the length of esophageal invasion ≤1 cm. (3) Regularity of inferior mediastinal lymph node metastasis in Siewert type Ⅱ and Ⅲ AEG. The number of inferior mediastinal lymph nodes including No.110, No.111 and No.112 dissected in 185 patients of Siewert type Ⅱ and Ⅲ AEG were 127, 50 and 27. The number of lymph nodes dissected and the number of metastatic lymph nodes in No.110 and No.111 of patients with length of esophageal invasion ≤1 cm, >1 cm and ≤2 cm, >2 cm and ≤3 cm, >3 cm and ≤4 cm were 69, 4, 42, 4, 4, 1, 12, 4 and 23, 0, 17, 0, 7, 2, 3, 0, respectively. There were significant differences in metastatic lymph nodes in No.110 and No.111 of patients with length of esophageal invasion ≤1 cm, >1 cm and ≤2 cm, >2 cm and ≤3 cm, >3 cm and ≤4 cm ( χ2=8.45, 7.30, P<0.05). Of the 185 patients of Siewert type Ⅱ and Ⅲ AEG, the ratio of cases with inferior mediastinal lymph nodes metastasis was 6.49%(12/185). The ratio of inferior mediastinal lymph nodes metastasis in cases with length of esophageal invasion ≤1 cm, >1 cm and ≤2 cm, >2 cm and ≤3 cm, >3 cm and ≤4 cm were 3.81%(4/105), 6.12%(3/49), 10.00%(2/20), 27.27%(3/11), respectively. The ratio of No.110 lymph nodes metastasis in cases with length of esophageal invasion ≤1 cm, >1 cm and ≤2 cm, >2 cm and ≤3 cm, >3 cm and ≤4 cm were 2.86%(3/105), 6.12%(3/49), 5.00%(1/20), 27.27%(3/11), respectively, showing a significant difference among them ( χ2=8.26, P<0.05). Conclusions:Depth of tumor invasion and length of esophageal invasion are independent influening factors affecting inferior mediastinal lymph node metastasis in Siewert type Ⅱ and Ⅲ AEG. The rate of inferior mediastinal lymph node metastasis increases with the increase of the length of esophageal invasion.