1.Adrenocortical carcinoma with rhabdoid features: a case report and literature review
Mingchuan CHU ; Huimin SUN ; Hao WANG ; Jian SONG ; Yongshun GUO
Journal of Modern Urology 2025;30(1):64-68
[Objective] To investigate and summarize the clinicopathological features, diagnosis, treatment and prognosis of adrenocortical carcinoma with rhabdoid features. [Methods] The clinical diagnosis and treatment of a case of adrenocortical carcinoma with rhabdoid features admitled to Department of Urology, Weifang People's Hospital were reported.The clinical manifestations, pathological features, diagnosis and prognosis of the disease were analyzed in combination with relevant literature. [Results] A 34-year-old male patient was admitted due to scrotal distension and pain that had persisted for 6 months.Imaging examination showed a huge soft tissue tumor in the left adrenal region of the retroperitoneum with compression displacement of the left kidney, leading to obstruction of venous return in the left spermatic vein, which in turn caused varicose veins.The levels of serum renin, angiotensin, aldosterone, cortisol, and catecholamine were within normal ranges.Surgical resection of the tumor was performed, and postoperative pathological examination revealed that the tumor tissue was predominantly composed of rhabdoid cells, exhibiting positive immunohistochemical staining for INI 1, Syn, Calretinin and Vimentin.Genetic testing did not identify any deletion of SMARCB1 and SMARCA4 mutations.Therefore, the diagnosis was adrenocortical carcinoma with rhabdoid features.At the current 20-month follow-up, no recurrence or metastasis was observed.A review of the literature found that only 7 cases of this disease had been reported. [Conclusion] Adrenocortical carcinoma with rhabdoid features is a rare disease, and a definitive diagnosis is dependent upon pathological examination.Surgical resection remains the primary treatment.Long-term follow-up is essential, and further research is needed to evaluate the impact of adjuvant therapy.
2.Influencing factors and construction of a nomogram predictive model for postoperative anastomotic leak in patients with carcinoma of the esophagus and gastroesophageal junction
Hao PENG ; Siqi SHENG ; Jing CHEN ; Maitiasen MAIRHABA ; Haizhu SONG ; Jun YI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):208-215
Objective To analyze the influencing factors for postoperative anastomotic leak (AL) in carcinoma of the esophagus and gastroesophageal junction and construct a nomogram predictive model. Methods The patients who underwent radical esophagectomy at Jinling Hospital Affiliated to Nanjing University School of Medicine from January 2018 to June 2020 were included in this study. Relevant variables were screened using univariate and multivariate logistic regression analyses. A nomogram was then developed to predict the risk factors associated with postoperative AL. The predictive performance of the nomogram was validated using the receiver operating characteristic (ROC) curve. Results A total of 468 patients with carcinoma of the esophagus and gastroesophageal junction were included in the study, comprising 354 males and 114 females, with a mean age of (62.8±7.2) years. The tumors were predominantly located in the middle or lower esophagus, and 51 (10.90%) patients experienced postoperative AL. Univariate logistic regression analysis indicated that age, body mass index (BMI), tumor location, preoperative albumin levels, diabetes mellitus, anastomosis technique, anastomosis site, and C-reactive protein (CRP) levels were potentially associated with AL (P<0.05). Multivariate logistic regression analysis identified age, BMI, tumor location, diabetes mellitus, anastomosis technique, and CRP levels as independent risk factors for AL (P<0.05). A nomogram was developed based on the findings from the multivariate logistic regression analysis. The area under the receiver operating characteristic (ROC) curve was 0.803, indicating a strong concordance between the actual observations and the predicted outcomes. Furthermore, decision curve analysis demonstrated that the newly established nomogram holds significant value for clinical decision-making. Conclusion The predictive model for postoperative AL in patients with carcinoma of the esophagus and gastroesophageal junction demonstrates strong predictive validity and is essential for guiding clinical monitoring, early detection, and preventive strategies.
3.Biomechanical effect of alveolar bone graft resorption on the maxillary alveolar process in a patient with unilateral cleft lip and palate
WANG Xiaoyu ; WANG Hao ; LI Song
Journal of Prevention and Treatment for Stomatological Diseases 2025;33(2):120-128
Objective :
To investigate the biomechanical effect of alveolar bone graft (ABG) resorption on the maxillary alveolar process under occlusal force in a patient with unilateral cleft lip and palate (UCLP) and provide evidence for the clinical application of ABG.
Methods:
A 3D finite element maxillary model of an 11-year-old female patient with UCLP was generated. The occlusal force was applied to six models with different ABG resorption, namely non-resorption, upper 1/3 resorption, upper 2/3 resorption, lower 1/3 resorption, lower 2/3 resorption, and upper&lower 1/3 resorption. The properties of structures in all models were set to be linear, elastic, and isotropic. The displacement and Von Mises stress of each reference node of the alveolar process were compared and analyzed.
Results:
Under occlusal force, the most significant displacement of the alveolar process was located in the anterior area, and it decreased gradually from anterior area to both sides in all groups. The displacement values of the alveolar process under cleft side lateral occlusion were as follows: non-resorption group < lower 2/3 resorption group < upper&lower 1/3 resorption group < lower 1/3 resorption group < upper 2/3 resorption group < upper 1/3 resorption group. The displacement values of the alveolar process under centric occlusion were as follows: non-resorption group < lower 1/3 resorption group < upper&lower 1/3 resorption group < upper 2/3 resorption group < lower 2/3 resorption group < upper 1/3 resorption group. The displacement values of the alveolar process under non-cleft side lateral occlusion were as follows: non-resorption group < lower 1/3 resorption group < upper 1/3 resorption group < lower 2/3 resorption group < upper&lower 1/3 resorption group < upper 2/3 resorption group. The stress was concentrated on the premolar area on the functional side of the alveolar process, followed by the canine and molar areas in all groups. The stress values of the alveolar process under cleft side lateral occlusion were as follows: non-resorption group < lower 2/3 resorption group < upper&lower 1/3 resorption group < upper 2/3 resorption group < lower 1/3 resorption group < upper 1/3 resorption group. The stress values of the alveolar process under centric occlusion were as follows: non-resorption group < upper 1/3 resorption group < lower 1/3 resorption group < lower 2/3 resorption group < upper&lower 1/3 resorption group < upper 2/3 resorption group. The stress values of the alveolar process under non-cleft side lateral occlusion were as follows: non-resorption group < lower 2/3 resorption group < upper&lower 1/3 resorption group < lower 1/3 resorption group < upper 2/3 resorption group < upper 1/3 resorption group. Under occlusal force, the displacement and stress of the alveolar process in the non-resorption model were significantly lower than those in other models. The displacement and stress of the alveolar process in the models with resorption in the lower area of the ABG were significantly lower than those in the models with resorption in the upper-middle areas of the ABG.
Conclusion
After unilateral complete cleft lip and palate bone grafting, the integrity and continuity of the middle and upper parts of the alveolar process bone grafting play a key role in the biomechanical status of the alveolar process. If bone resorption occurs in the above parts, bone grafting should be considered.
4.Combination of effective ingredients of traditional Chinese medicine and bone tissue engineering materials for bone repair
Yaokun WU ; Chenglin LIU ; Jiahao FU ; Wei SONG ; Hao CHEN ; Hongzhong XI ; Xin LIU ; Bin DU ; Guangquan SUN
Chinese Journal of Tissue Engineering Research 2025;29(10):2141-2150
BACKGROUND:How to repair bone defect has been a clinical problem for a long time.The effective ingredients of traditional Chinese medicine have good biological activity and therapeutic effect,and the combination of effective ingredients of traditional Chinese medicine and tissue engineering materials has a broad prospect in the field of bone repair.The combination of different effective ingredients of traditional Chinese medicine and scaffolds has similarities in their functional relationships. OBJECTIVE:To collect the cases of the combinations of effective ingredients of traditional Chinese medicine and scaffolds,then analogize tissue engineering scaffolds and effective ingredients of traditional Chinese medicine into two types of traditional Chinese medicine that generate compatibility relationships based on the inspiration of the compatibility of seven emotions and summarize the relationship between the two based on their functional relationships. METHODS:Relevant articles from January 1998 to January 2024 were searched in PubMed and China National Knowledge Infrastructure(CNKI),using English search terms"traditional Chinese medicine,Chinese medicine,traditional Chinese medicine monomers,bone defect,bone repair,bone tissue engineering,tissue engineering,scaffold"and Chinese search terms"traditional Chinese medicine,effective ingredients of traditional Chinese medicine,traditional Chinese medicine monomers,bone tissue engineering,bone tissue engineering scaffold,scaffold,tissue engineering,bone defect,bone repair."A total of 88 articles were included for review and analysis. RESULTS AND CONCLUSION:(1)Both tissue engineering scaffold materials and active ingredients of traditional Chinese medicine have been widely used in the field of bone repair.Although they have obvious advantages in osteogenesis,there are still many shortcomings.Many studies are dedicated to preparing composite materials from the two,hoping to exert a detoxification and synergism through the interaction between the two.(2)Some drugs and materials can promote each other in osteogenesis,antibacterial,and promoting angiogenesis,enhancing their original effects.Inspired by the traditional concept of prescription compatibility,this article summarized it as a"Mutual promotion"relationship and provided examples to support it.(3)Some drugs can enhance the strength of materials,while some materials can achieve sustained release and controlled release effects,increase drug loading and stability,or achieve targeted delivery of drugs loaded on them.The article summarized this unilateral enhancement effect as a"Mutual assistance"relationship.(4)The combination of some traditional Chinese medicine and materials can reduce the toxic side effects of the other party.The article summarizes this detoxification relationship as"Mutual restraint and detoxification."(5)The article provided a new perspective on traditional Chinese medicine composite scaffolds,inspired by the seven emotions compatibility relationship and based on the classification of action relationships.It introduced traditional Chinese medicine concepts into the field of tissue engineering,providing new research ideas for subsequent researchers of composite scaffolds,and providing certain convenience in material selection and matching.
5.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
6.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
7.Integrated Transcriptomic Landscape and Deep Learning Based Survival Prediction in Uterine Sarcomas
Yaolin SONG ; Guangqi LI ; Zhenqi ZHANG ; Yinbo LIU ; Huiqing JIA ; Chao ZHANG ; Jigang WANG ; Yanjiao HU ; Fengyun HAO ; Xianglan LIU ; Yunxia XIE ; Ding MA ; Ganghua LI ; Zaixian TAI ; Xiaoming XING
Cancer Research and Treatment 2025;57(1):250-266
Purpose:
The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs).
Materials and Methods:
Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients.
Results:
A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804.
Conclusion
USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.
8.Research progress on robot-assisted esophagogastric anastomosis technique
Hao PENG ; Maitiyasen MAIERHABA ; Siqi SHENG ; Haizhu SONG ; Jun YI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(04):547-552
In recent years, robot-assisted esophagectomy has become increasingly widespread, but the esophagogastric anastomosis step remains relatively complex and cumbersome. Currently, commonly used gastrointestinal reconstruction anastomosis techniques include end-to-end anastomosis, end-to-side anastomosis, and side-to-side anastomosis. Depending on the anastomosis method, they can be further divided into manual anastomosis and mechanical anastomosis, with common instruments including circular staplers and linear staplers. In esophageal cancer surgery, the choice of esophagogastric anastomosis technique is typically based on the tumor’s location and size as well as the surgeon’s preference. Each anastomosis technique has its advantages and disadvantages. With continuous improvements in anastomosis techniques and updates in stapling instruments, the incidence of complications after esophagogastric anastomosis has been effectively reduced. However, safely and efficiently completing gastrointestinal reconstruction during surgery remains a significant challenge. Scholars have made extensive explorations in this field, actively proposing and achieving various reconstruction methods, leading to significant progress. This article reviews the research progress of robot-assisted esophagogastric anastomosis techniques from both the anastomosis techniques and methods perspectives.
9.Correlation between Muscle Tension,Clinical Characteristics, and Traditional Chinese Medicine Syndromes in Patients with Wilson Disease Based on Digital Muscle Function Assessment System Myoton PRO
Yulong YANG ; Wenming YANG ; Han WANG ; Xiang LI ; Taohua WEI ; Wenjie HAO ; Yue YANG ; Yufeng DING ; Yuqi SONG ; Wei HE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(15):147-154
ObjectiveThis paper aims to use the digital muscle function assessment system Myoton PRO to assess the correlation between muscle tension,clinical characteristics, and traditional Chinese medicine(TCM) syndromes in patients with hepatolenticular degeneration [also known as Wilson disease(WD)]. MethodsA total of 104 patients with WD accompanied by abnormal muscle tension(increased or decreased,hereinafter the same) who were hospitalized in the Brain Disease Centre of the First Affiliated Hospital of Anhui University of Chinese Medicine from April 2021 to November 2023 were selected,all of whom were subjected to TCM syndrome diagnosis and Myoton PRO for the measurement of F value of muscle tension,Goldstein, and UWDRS-N scales. The age of onset of the disease and disease duration were analyzed,and the differences and correlations of the above indexes in different TCM syndromes of WD were analyzed ResultsAmong the 104 patients with WD ,the phlegm and stasis syndrome was the most common(60 patients),followed by the damp-heat syndrome(33 patients),and the least common was the liver-kidney Yin deficiency syndrome(11 patients). The F value of the phlegm and stasis syndrome group was higher than that of the liver-kidney Yin deficiency syndrome group and the damp-heat syndrome group(P<0.01). The F value of the damp-heat syndrome group was higher than that of the liver-kidney Yin deficiency syndrome group(P<0.05),and the F value of the lower limbs of each group was higher than that of the upper limbs(P<0.01). Goldstein and UWDRS-N scores of the patients in the phlegm and stasis syndrome group were higher than those in the damp-heat syndrome group and the liver-kidney Yin deficiency syndrome group(P<0.05). There was no significant difference between the Goldstein and UWDRS-N scores of patients in the liver-kidney Yin deficiency syndrome group and the damp-heat syndrome group. Correlation analysis revealed that the age of onset and duration of the disease were positively correlated with the F values of the lower limbs(r=0.20,P<0.05,r=0.38,P<0.01)and had no significant correlation with those of the upper limbs. The F value levels of muscle tension of all limbs in the three groups of patients were positively correlated with the Goldstein and UWDRS-N scores(muscle tension of the upper limbs in the phlegm and stasis syndrome group,r=0.36,P<0.01,r=0.42,P<0.01. muscle tension of the lower limbs in the phlegm and stasis syndrome group,r=0.70,P<0.01,r=0.60,P<0.01. muscle tension of the upper limbs in the damp-heat syndrome group,r=0.64,P<0.01,r=0.53,P<0.01. muscle tension of the lower limbs in the damp-heat syndrome group,r=0.59,P<0.01,r=0.70,P<0.01. muscle tension of the upper limbs in the liver-kidney Yin deficiency syndrome group,r=0.70,P<0.01,r=0.74,P<0.01. muscle tension of the lower limbs in the liver-kidney Yin deficiency syndrome group,r=0.85,P<0.01,r=0.62,P<0.01).
10.Effect of pulmonary hypertension on the prognosis of patients with severe aortic stenosis after transcatheter aortic valve replacement: A systematic review and meta-analysis
Zhili WEI ; Yang CHEN ; Shuai DONG ; Hao CHEN ; Yang CHEN ; Zhijing AN ; Yalan ZHANG ; Bing SONG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(08):1173-1180
Objective To systematically evaluate the impact of pulmonary hypertension (PH) on the prognosis of patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR). Methods A computerized search was conducted in CNKI, Wanfang Data, VIP, CBM, PubMed, The Cochrane Library, EMbase, and Web of Science databases from inception to June 2023 for cohort studies on the prognostic impact of PH in severe AS patients undergoing TAVR. Two researchers independently screened the literature, extracted data, and assessed the quality of included studies. Stata 17.0 software was used for meta-analysis. Results A total of 16 cohort studies were included, all with Newcastle-Ottawa Scale scores≥7. Meta-analysis results showed that, compared with AS patients without PH, those with PH had significantly higher 1-year all-cause mortality after TAVR [OR=2.10, 95%CI (1.60, 2.75), P<0.01], 30-day all-cause mortality [OR=2.09, 95%CI (1.54, 2.83), P<0.01], and cardiovascular mortality [OR=1.49, 95%CI (1.18, 1.90), P<0.01]. The differences between the two groups in major bleeding events, stroke, myocardial infarction, pacemaker implantation, and postoperative renal failure were not statistically significant. For outcome indicators with significant heterogeneity, subgroup analyses were performed based on PH measurement methods, diagnostic criteria, and different types of PH. The results showed that most subgroup combined results were consistent with the overall findings and that heterogeneity was significantly reduced. Conclusion PH significantly increases the 30-day all-cause mortality, 1-year all-cause mortality, and cardiovascular mortality in patients with severe AS undergoing TAVR.


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