1.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.
2.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.
3.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.
4.Minimally invasive reduction of ulnar bicortex angulation and intramedullary fixation in the treatment of Bado typeⅠchildren with Monteggia fracture.
Chuan-Wei ZHANG ; Deng-Shan CHEN ; Lei WANG ; Xing-Po DING
China Journal of Orthopaedics and Traumatology 2025;38(4):415-419
OBJECTIVE:
To evaluate the effectiveness of minimally invasive reduction and ulna bicortical angulation intramedullary fixation in the management of Bado typeⅠMonteggia fracture in pediatric patients.
METHODS:
Between August 2018 and August 2020, the clinical data of 15 pediatric patients diagnosed with Bado typeⅠfresh Monteggia fracture were retrospectively analyzed. There were 11 males and 4 females. The left side was implicated in 5 cases, while the right side was involved in 10 cases. The age ranged from 4 to 12 years old. There were a total of 10 cases of upper ulna fractures and 5 cases of middle ulna fractures. Among these, the ulnar fracture line presented as transverse or short oblique in 9 cases, and long oblique or spiral in 6 cases. The pediatric patients underwent treatment utilizing minimally invasive reduction and ulna bicortical angulation intramedullary fixation. The effectiveness of the treatment was assessed based on the Mayo elbow scoring system.
RESULTS:
The follow-up period for all 15 cases ranged from 6 to 24 months. Among them, the occurrence of needle tail irritation was observed in 3 cases, all of which exhibited satisfactory healing following routine disinfection and dressing change. The other children had no re dislocation of the radial capitulum, no epiphyseal injury, no osteofascial compartment syndrome, elbow instability and other complications. The degree of limitation of daily life, range of motion of joints, pain level and appearance of limbs were recorded at the last follow-up. According to Mayo elbow scoring system, 12 cases were excellent and 3 cases were good.
CONCLUSION
The minimally invasive reduction and ulna bicortical angulation intramedullary fixation technique is a simple and effective treatment for Bado typeⅠfresh Monteggia fractures in children.
Humans
;
Male
;
Female
;
Child
;
Monteggia's Fracture/surgery*
;
Child, Preschool
;
Minimally Invasive Surgical Procedures/methods*
;
Fracture Fixation, Intramedullary/methods*
;
Retrospective Studies
5.Ultrasound-guided closed reduction and internal fixation using Kirschner wire for the treatment of olecranon fractures of the ulna in children.
Deng-Shan CHEN ; Chuan-Wei ZHANG ; Lei WANG ; Xing-Po DING ; Jian-Ping YANG
China Journal of Orthopaedics and Traumatology 2025;38(7):743-746
OBJECTIVE:
To investigate the clinical efficacy and safety of ultrasound-guided closed reduction and internal fixation using Kirschner wire for the treatment of olecranon fractures of the ulna in children.
METHODS:
Between January 2019 and January 2021, 13 children with olecranon fracture were treated with ultrasound-guided closed reduction and percutaneous Kirschner wire internal fixation, including 10 males and 3 females. The age ranged from 3 to 14 years old. Children with ulnar olecranon fractures were evaluated using the Gicquel scoring system. The clinical evaluation encompassed postoperative pain, functional status, and range of motion, with a maximum score of 15 points. The radiological assessment contributed an additional 4 points. A cumulative score of more than 18 scores was classified as excellent, more than 17 scores as good, more than16 scores as fair, and less than 16 scores as poor. Clinical assessment:A score of 14 indicates excellent performance, a score of 13 reflects good performance, a score of 12 denotes fair performance, and a score of less than 11 signifies poor performance.
RESULTS:
A total of 13 patients were followed up, with a duration ranging from 6 to 12 months. According to the Gicquel scoring criteria, the comprehensive evaluation of clinical and radiographic findings yielded 10 excellent and 3 good outcomes. Evaluation based solely on clinical findings resulted in 13 excellent outcomes.
CONCLUSION
Ultrasound-guided percutaneous cross Kirschner wire fixation for children's olecranon fracture has the advantages of less trauma, rapid recovery, less fluoroscopy, and good recovery of elbow function. The clinical effect is satisfactory.
Humans
;
Child
;
Male
;
Female
;
Fracture Fixation, Internal/instrumentation*
;
Ulna Fractures/physiopathology*
;
Bone Wires
;
Child, Preschool
;
Adolescent
;
Olecranon Process/surgery*
;
Ultrasonography
;
Closed Fracture Reduction/methods*
;
Olecranon Fracture
6.Prediction of testicular histology in azoospermia patients through deep learning-enabled two-dimensional grayscale ultrasound.
Jia-Ying HU ; Zhen-Zhe LIN ; Li DING ; Zhi-Xing ZHANG ; Wan-Ling HUANG ; Sha-Sha HUANG ; Bin LI ; Xiao-Yan XIE ; Ming-De LU ; Chun-Hua DENG ; Hao-Tian LIN ; Yong GAO ; Zhu WANG
Asian Journal of Andrology 2025;27(2):254-260
Testicular histology based on testicular biopsy is an important factor for determining appropriate testicular sperm extraction surgery and predicting sperm retrieval outcomes in patients with azoospermia. Therefore, we developed a deep learning (DL) model to establish the associations between testicular grayscale ultrasound images and testicular histology. We retrospectively included two-dimensional testicular grayscale ultrasound from patients with azoospermia (353 men with 4357 images between July 2017 and December 2021 in The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China) to develop a DL model. We obtained testicular histology during conventional testicular sperm extraction. Our DL model was trained based on ultrasound images or fusion data (ultrasound images fused with the corresponding testicular volume) to distinguish spermatozoa presence in pathology (SPP) and spermatozoa absence in pathology (SAP) and to classify maturation arrest (MA) and Sertoli cell-only syndrome (SCOS) in patients with SAP. Areas under the receiver operating characteristic curve (AUCs), accuracy, sensitivity, and specificity were used to analyze model performance. DL based on images achieved an AUC of 0.922 (95% confidence interval [CI]: 0.908-0.935), a sensitivity of 80.9%, a specificity of 84.6%, and an accuracy of 83.5% in predicting SPP (including normal spermatogenesis and hypospermatogenesis) and SAP (including MA and SCOS). In the identification of SCOS and MA, DL on fusion data yielded better diagnostic performance with an AUC of 0.979 (95% CI: 0.969-0.989), a sensitivity of 89.7%, a specificity of 97.1%, and an accuracy of 92.1%. Our study provides a noninvasive method to predict testicular histology for patients with azoospermia, which would avoid unnecessary testicular biopsy.
Humans
;
Male
;
Azoospermia/diagnostic imaging*
;
Deep Learning
;
Testis/pathology*
;
Retrospective Studies
;
Adult
;
Ultrasonography/methods*
;
Sperm Retrieval
;
Sertoli Cell-Only Syndrome/diagnostic imaging*
7.Curative Efficacy Analysis of Allogeneic Hematopoietic Stem Cell Transplantation for Acute Myeloid Leukemia with ASXL1 Mutation.
Ya-Jie SHI ; Xin-Sheng XIE ; Zhong-Xing JIANG ; Ding-Ming WAN ; Rong GUO ; Tao LI ; Xia ZHANG ; Xue LI ; Yu-Pei ZHANG ; Yue SU
Journal of Experimental Hematology 2025;33(3):720-725
OBJECTIVE:
To explore the efficacy and apoptosis of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in the treatment of acute myeloid leukemia (AML) with ASXL1 mutation.
METHODS:
The clinical data of 80 AML patients with ASXL1 mutation treated in our hospital from January 2019 to December 2021 were retrospectively analyzed. The clinical characteristics of the patients were summarized, and the therapeutic effect and prognostic factors of allo-HSCT for the patients were analyzed.
RESULTS:
Among the 80 patients, 38 were males and 42 were females, and the median age was 39(14-65) years. There were 17 patients in low-risk group, 25 patients in medium-risk group and 38 patients in high-risk group. ASXL1 mutation co-occurred with many other gene mutations, and the frequent mutated genes were TET2 (71.25%), NRAS (18.75%), DNMT3A (16.25%), NPM1 (15.00%), CEBPA (13.75%). Among medium and high-risk patients, 29 underwent allo-HSCT, while 34 received chemotherapy. The 2-year overall survival (OS) rate and disease-free survival (DFS) rate of the allo-HSCT group were 72.4% and 70.2%, while those of the chemotherapy group were 44.1% and 34.0%, respectively. The statistical analysis showed significant differences between the two groups (both P < 0.01). Multivariate analysis showed that age at transplantation >50- years and occurrence of acute graft-versus-host disease after transplantation were poor prognostic factors for OS and DFS in transplantation patients.
CONCLUSION
Allo-HSCT can improve the prognosis of AML patients with ASXL1 mutation.
Humans
;
Leukemia, Myeloid, Acute/therapy*
;
Hematopoietic Stem Cell Transplantation
;
Female
;
Male
;
Middle Aged
;
Mutation
;
Adult
;
Repressor Proteins/genetics*
;
Adolescent
;
Retrospective Studies
;
Aged
;
Nucleophosmin
;
Young Adult
;
Transplantation, Homologous
;
Prognosis
;
Survival Rate
8.A preliminary study on horizontal sound localization in patients with unilateral sudden hearing loss during the acute phase
Mengyuan ZHU ; Xiaolin HE ; Jiaying LI ; Xing WANG ; Hongping DING ; Linan DIAO ; Xin FU ; Jiaxing LIU ; Zihui ZHAO ; Ningyu WANG ; Juan ZHANG
Chinese Archives of Otolaryngology-Head and Neck Surgery 2025;32(5):288-293
OBJECTIVE To preliminarily assess the horizontal sound localization and its influencing factors in patients with unilateral sudden sensorineural hearing loss during the acute phase.METHODS The azimuth discrimination test and azimuth identification test were completed,with the speech sound(65 dB SPL)as the stimulus.The minimum audible angle(MAA)and root-mean-square error(RMSE)were obtained,and the RMSE of the affected side and the healthy side were calculated respectively.According to the WHO(2021)hearing loss classification criteria,the data were analyzed based on the pure-tone average(PTA)of the affected ear.And the best resident hearing at each frequency of the affected ear was recorded.RESULTS The performance of the unilateral sudden sensorineural hearing loss patients in the sound localization varied greatly.Some performed close to the normal level,while others completely lost the ability to localize sound.The RMSE of the moderate hearing loss group(≥35 dB HL)was significantly higher than that of the normal hearing group(P<0.01),the MAA of the moderate to severe hearing loss group(≥50 dB HL)showed statistically significant differencescompared with normal hearing group(P<0.001).The RMSE of the affected side of patients in the severe and above hearing loss group was significantly larger than that of the healthy side.Regression analysis showed that the best resident hearing at each frequency of the affected ear was the most significant factor affecting MAA(R2=0.572,P<0.001)and RMSE(R2=0.768,P<0.001).CONCLUSION The horizontal sound localization of unilateral sudden sensorineural hearing loss patients in the acute phase varies greatly.When the PTA of the affected side reaches moderate hearing loss,the localization ability is significantly lower than that of normal-hearing individuals.The best resident hearing at each frequency of the affected ear is the key factor affecting the localization ability.
9.Association between 24 h movement behaviors and fundamental motor skills of children with autism spectrum disorder in Jinan
DING Jianing, YUAN Yaqing, XING Yaping, ZHANG Zhaopeng, LIU Yang
Chinese Journal of School Health 2024;45(9):1233-1237
Objective:
To study the association between 24 h activities and Fundamental Motor Skills (FMS) among children with autism spectrum disorder (ASD) using compositional data analysis, and the expected changes in FMS after isochronous substitution of each activity, in order to provide reference basis for improving FMS levels in children with ASD.
Methods:
From October 2023 to April 2024, a total of 301 children with ASD aged 6-10 from 7 special education schools in Jinan, were investigated by cluster random sampling, and 24 h movement behaviors were calculated based on accelerator data. Test of Gross Motor Development- 2 was used to assess FMS. R software was used to perform the descriptive statistical, multiple linear regression and isochronous substitution analyses.
Results:
The proportion of moderatevigorous physical activity (MVPA) in children with ASD was positively related with FMS scores, locomotor, and object control skills ( β=12.42, 6.32, 6.10, P <0.01). Reallocating 15 min from sleep (SLP) to MVPA resulted in respective increases of 3.66, 1.91, and 1.75 points in FMS scores, locomotor skills, and object control skills ( P <0.05). Reallocating 15 min from sedentary behavior (SB) to MVPA resulted in respective increases of 3.72, 1.88 , and 1.83 points in FMS scores, locomotor skills, and object control skills ( P <0.05). Reallocating 15 min from light physical activity (LPA) to MVPA resulted in respective increases of 3.32, 1.57, and 1.74 points in FMS scores, locomotor skills, and object control skills ( P <0.05). Moreover, reallocating 15 min from SB to LPA resulted in an increase of 0.28 points in locomotor skills ( P <0.05). Dose response analysis revealed that substitution of MVPA for SLP, SB, and LPA in children with ASD enhanced their FMS levels, and their substitution was asymmetrical; and substitution of LPA for SB enhanced locomotor skills level.
Conclusions
Among the 24 h movement behaviors, increasing the time spent on MVPA and LPA have positive impacts on the FMS of children with ASD. Schools and families should optimize the allocation of 24 h activity time in children with ASD, so as to promote the improvement of FMS levels of children with ASD.
10.Effects of 5G mobile phone radiofrequency radiation exposure on male mouse fertility
Zhaowen ZHANG ; Guiqiang ZHOU ; Ling GUO ; Tongzhou QIN ; Xing WANG ; Guirong DING
Chinese Journal of Radiological Health 2024;33(2):135-141
Objective To clarify the effects of 5G mobile phone radiofrequency radiation exposure on male mouse fertility and to preliminarily explore the underlying mechanisms. Methods Healthy male C57BL/6 mice aged 7-8 weeks were randomly assigned to Sham group, 3.5 GHz radiofrequency radiation group, and 4.9 GHz radiofrequency radiation group, with 16 mice in each group. The mice were exposed to 3.5 GHz or 4.9 GHz mobile phone radiofrequency radiation for 42 consecutive days (1 h per day). The sperm quality was evaluated using sperm count, deformity rate, and motility. H&E staining was performed to assess testicular tissue structure by observing the morphology of spermatogenic cells at various development stages, the diameter of seminiferous tubules, and the thickness of seminiferous epithelium. The sperm mitochondrial function was assessed using sperm mitochondrial membrane potential and testicular ATP content. The fertility of mice was evaluated through fertility rate, litter size, and survival rate of offspring. The underlying mechanisms were explored by detecting the methylation of LRGUK gene and its mRNA and protein levels. Results Compared with the Sham group, there were no significant changes in sperm count in the 3.5 GHz and 4.9 GHz groups; however, the sperm abnormality rate significantly increased (P < 0.05) and sperm motility significantly decreased (P < 0.05). The structure of testicular tissue, the function of sperm mitochondria, and fertility of mice showed no significant changes as compared with the Sham group. The methylation level of LRGUK gene in the testes significantly increased, while the mRNA and protein expression levels significantly decreased. Conclusion Exposure to 3.5 GHz and 4.9 GHz mobile phone radiofrequency radiation for 42 consecutive days can lead to an increase in sperm deformity rate and a decrease in sperm motility in mice, but has no significant effect on fertility, which may be related to an increase in methylation level of the LRGUK gene in the testes.


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