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.The application of surgical robots in head and neck tumors.
Xiaoming HUANG ; Qingqing HE ; Dan WANG ; Jiqi YAN ; Yu WANG ; Xuekui LIU ; Chuanming ZHENG ; Yan XU ; Yanxia BAI ; Chao LI ; Ronghao SUN ; Xudong WANG ; Mingliang XIANG ; Yan WANG ; Xiang LU ; Lei TAO ; Ming SONG ; Qinlong LIANG ; Xiaomeng ZHANG ; Yuan HU ; Renhui CHEN ; Zhaohui LIU ; Faya LIANG ; Ping HAN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(11):1001-1008
5.Evaluation of the efficacy and safety of intravenous infusion of ferric derisomaltose in the treatment of iron deficiency anemia: a single-center retrospective analysis
Shaoxue DING ; Yihui ZHAO ; Ting WANG ; Jing GUAN ; Limin XING ; Hong LIU ; Guojin WANG ; Xiaoming WANG ; Yuhong WU ; Wen QU ; Jia SONG ; Huaquan WANG ; Lijuan LI ; Zonghong SHAO ; Rong FU
Chinese Journal of Hematology 2024;45(2):178-183
Objective:To investigate the clinical efficacy and safety of ferric derisomaltose injection versus iron sucrose injection in the treatment of iron deficiency anemia (IDA) .Methods:A total of 120 patients with iron deficiency anemia admitted from June 2021 to March 2023 were given intravenous iron supplementation with ferric derisomaltose to assess the efficacy and safety of hemoglobin (HGB) elevation before and after treatment. Simultaneously, the clinical effects of iron supplementation with iron sucrose were compared to those of inpatient patients during the same period.Results:Baseline values were comparable in both groups. Within 12 weeks of treatment, the elevated HGB level in the ferric derisomaltose group was higher than that of the iron sucrose group, with a statistical difference at all time points, and the proportion of HGB increased over 20 g/L in the patients treated for 4 weeks was higher (98.7%, 75.9% ). During the treatment with ferric derisomaltose and iron sucrose, the proportion of mild adverse reactions in the ferric derisomaltose group was slightly lower than that of the iron sucrose group, and neither group experienced any serious adverse reactions. The patients responded well to the infusion treatment, with no reports of pain or pigmentation at the injection site.Conclusion:The treatment of IDA patients with ferric derisomaltose has a satisfactory curative effect, with the advantages of rapidity, accuracy, and safety. Therefore, it is worthy of widespread clinical use.
6.Efficacy and safety of eltrombopag in the treatment of primary immune thrombocytopenia: real-world data from a single medical center
Xifeng DONG ; Yalan LI ; Nianbin LI ; Weinan LIN ; Ting WANG ; Huaquan WANG ; Lijuan LI ; Wen QU ; Limin XING ; Hong LIU ; Yuhong WU ; Guojin WANG ; Jia SONG ; Jing GUAN ; Xiaoming WANG ; Zonghong SHAO ; Rong FU
Chinese Journal of Hematology 2024;45(3):271-276
Objective:This study aimed at investigating the efficacy and safety of eltrombopag in the treatment of adult primary immune thrombocytopenia (ITP) and evaluated the factors influencing its efficacy and side effects.Methods:A total of 198 patients with adult ITP who were admitted to Tianjin Medical University General Hospital between January 2018 and March 2022 were retrospectively analyzed. The efficacy of each starting dose of eltrombopag was evaluated, and adverse events were analyzed. The factors influencing efficacy were investigated, including sex, age, adult ITP type, platelet antibodies, and combined drug treatments.Results:Of the 198 patients, 70 males and 128 females with a median age of 45 years (18-88 years) were included; 130 (65.7%) had newly diagnosed adult ITP, 25 (12.6%) had persistent adult ITP, and 43 (21.7%) had chronic adult ITP. The bleeding event scores at baseline were assessed; 84.3% had scores of<4 and 15.7% had scores of ≥4. The eltrombopag response rate (initial response) at 6 weeks was 78.8% (complete response [CR]: 49.0%; CR1: 14.6%; CR2: 15.2%). The median response time to eltrombopag was 7 (7, 14) days. The initial response rates to 25, 50, and 75 mg eltrombopag were 74.1%, 85.9%, and 60.0%, respectively ( P=0.031). The initial response rate to the 50 mg dose was significantly higher than that of the 25-mg and 75-mg doses. Two patients received 100 mg as the starting dose, and their initial response was 0. Regarding dose adjustment, 70.7% of the patients remained on the starting dose, 8.6% underwent dose adjustment to 50 mg, and 6.1% underwent dose adjustment to 75 mg. Another two patients underwent dose adjustment to 100 mg. After dose adjustment, the persistent response rates were 83.6%, 85.3%, and 85.7% for the 25-, 50-, and 75-mg doses, respectively, with no significant difference. After dose adjustment, the sustained efficacy rate for the 100-mg dose (4 patients) was 100.0%. After 6 weeks of treatment with eltrombopag, the overall bleeding score of patients with ITP decreased. The number of patients with a score of ≥4 decreased to 0, the number of patients with a score of<4 decreased, and there was no significant change in the number of patients with a score of 1-2. The most common adverse event associated with eltrombopag was impaired liver function (7.7%). No thrombosis events or other adverse events were observed. ITP type and number of megakaryocytes significantly affected the initial response to eltrombopag. The initial response rates to eltrombopag for newly diagnosed adult ITP, persistent adult ITP, and chronic adult ITP were 85.3%, 56.0%, and 76.2%, respectively ( P=0.003). For megakaryocytes, the initial response rates were 61.8%, 87.1%, and 84.3% ( P=0.009) for the decreased, normal, and increased megakaryocyte groups, respectively. Conclusion:Eltrombopag, as a second-line or higher treatment for adult ITP, has a rapid onset of action and good safety. The initial response rate is significantly higher with a dose of 50 mg than with a dose of 25 mg. Patients with newly diagnosed ITP and those with normal or increased megakaryocyte numbers have a higher initial response rate to eltrombopag.
7.A single-center analysis of pathogenic bacteria distribution and drug resistance in bacterial bloodstream infections among patients with hematological diseases
Mengting CHE ; Chaomeng WANG ; Hui LIU ; Haifang KONG ; Lijuan LI ; Jia SONG ; Huaquan WANG ; Guojin WANG ; Yuhong WU ; Jing GUAN ; Limin XING ; Wen QU ; Hong LIU ; Xiaoming WANG ; Zhidong HU ; Zonghong SHAO ; Rong FU
Chinese Journal of Hematology 2024;45(10):937-943
Objective:To analyze the distribution and drug resistance of pathogens of bacterial bloodstream infection in patients with hematological diseases in the Department of Hematology of Tianjin Medical University General Hospital, and to provide etiological data for clinical empirical anti-infection treatment.Methods:A retrospective analysis was conducted on the general clinical information, pathogenic bacteria and drug susceptibility test results of patients with hematological diseases diagnosed with bacterial bloodstream infection by menstrual blood culture in our center from January 2016 to December 2022.Results:Patients included 498 inpatients, with a total of 639 bacterial strains. Among the patients, 86.9% patients had malignancies, and 76.7% had agranulocytosis. Symptoms of concurrent infections, including those of the respiratory tract, oral mucosa, skin and soft tissues, and abdominal sources were observed in 68.3% patients. Gram-negative bacteria (G -) accounted for 79.0% of the isolated bacteria, and gram-positive bacteria (G +) accounted for 21.0%. The top five isolated pathogens were Klebsiella pneumoniae (22.5%), Escherichia coli (20.8%), Pseudomonas aeruginosa (15.0%), Enterococcus faecium (5.5%), and Stenotrophomonas maltophilum (5.0%). Escherichia coli exhibited a decreasing trend of resistance to quinolones, cephalosporins, and carbapenems. Klebsiella pneumoniae exhibited increasing rates of resistance to quinolones and cephalosporins between 2016 and 2018, but the rated decreased after 2019. The resistance rate to carbapenems exhibited by Pseudomonas aeruginosa was approximately 20%. Carbapenem-resistant strains of Pseudomonas aeruginosa strains were first detected in 2017, with a peak resistance rate of 35.7%, detected in 2019. A 60.0% resistance rate to methicillin was observed in methicillin-resistant coagulase-negative staphylococci (MRCNS), and one case of linezolid-resistant MRCNS was detected. Conclusions:Pathogenic bacteria of bacterial bloodstream infections were widely distributed in our center, and precautions are warranted against carbapenem resistant P. aeruginosa and Klebsiella pneumoniae.
8.Interpretation of Management of inflammation in dry eye disease: recommendations from a European panel of experts
Chinese Journal of Experimental Ophthalmology 2024;42(7):656-661
Dry eye disease (DED) is a common ocular surface disease with significant impact on vision and quality of life.Early anti-inflammatory therapy with topical glucocorticoids and/or cyclosporine A (CsA) is recommended by the Tear Film & Ocular Surface Society Dry Eye Workshop (TFOS DEWS) Ⅱ report.Currently, there is no clear guidance on several aspects of the use of glucocorticoids and CsA in the management of DED, such as when and how to start therapy.Therefore, a European panel of dry eye experts developed a consensus through a questionnaire covering disease and progression, patient management, efficacy, safety and tolerability of CsA, patient education and criteria that are easy to apply in the clinic, and proposed specific treatment protocols for glucocorticoids and CsA in the treatment of DED.China has just started anti-inflammatory therapy for DED with little information to guide clinical practice.Hence, combining the consensus and relevant literature, this article interprets the role of inflammation in the development of DED, the inflammatory manifestations of DED and the anti-inflammatory therapy to guide the ophthalmologists in clinical practice.
9.Research progress on the therapeutic effect and mechanism of Xiaoxuming decoction on nervous system diseases
Xuan LIU ; Huiling HOU ; Weipeng SONG ; Xiaoming LI ; Yang LIU ; Wei ZHANG ; Xiwu ZHANG ; Weiming ZHAO
China Pharmacist 2024;28(11):536-549
Xiaoxuming decoction is one of the classical prescriptions in ancient times,mainly used for treating stroke syndrome,with significant therapeutic effects.Recent studies have found that it is also effective for other neurological diseases besides stroke,such as facial paralysis and vertigo,but there are few reports on related achievements,lacking systematic organization and summary.This article systematically summarizes the application practice and mechanism of Xiaoxuming decoction in the above-mentioned diseases,aiming to provide a solid foundation and scientific reference for deepening the exploration of Xiaoxuming decoction in the field of nervous system disease.
10.Preliminary exploration of prostate cancer screening mode based on the medical community model in primary hospitals
Liwei ZHENG ; Lingmin SONG ; Gang WANG ; Weizhi ZHU ; Liejun HOU ; Maomao LI ; Jianjun HUANG ; Kewen ZHOU ; Bin ZHENG ; Xiaoming XU ; Guobin WENG
Chinese Journal of Urology 2024;45(6):416-419
Objective:To explore the suitable prostate cancer screening mode under the medical community for primary hospitals.Methods:From April 2021 to April 2022, a total of 16007 male population ≥50 years from 9 branches of the medical community of the second hospital of Yinzhou participated in this study. They were divided into four groups according to age with group 1 of 50-59 years old, group 2 of 60-69 years old, group 3 of 70-79 years old, and group 4 of 80 years old and above. Serum tPSA was added to the routine physical examination, and the screening positive patients were referred to the referral hospital for further diagnosis and treatment under the mode of medical community. We proposed multi-parametric MRI (mpMRI) for those with serum PSA ≥4 ng/ml and suspicious lesions should be scored according to PI-RADS V2. The ultrasound-guided transperineal targeted prostate biopsy was performed for those with PI-RADS ≥3 and those with PI-RADS < 3 but tPSA ≥10 ng/ml. The tPSA follow-up examinations were performed every 6 months for tPSA < 10 ng/ml and PI-RADS < 3 points and once a year for tPSA < 4 ng/ml.Results:Among the 16 007 male population ≥50 years, 2 007(12.54%) were found serum PSA ≥4 ng/ml, and 634(31.59%)were referred to the referral hospital through the medical community system. Combining tPSA and mpMRI, 271 patients underwent ultrasound-guided transperineal targeted prostate biopsy. Among them, 162 were finally diagnosed with PCa, with a biopsy positive rate of 59.78%. The detection rate of PCa in all the subjects was 1.01%. According to the pathological grade, 5(3.08%) were in ISUP group 1, 95(58.64%) in ISUP group 2-3, and 62(38.27%) in ISUP group 4-5. There were 102(62.96%), 39(24.07%) and 21(12.96%) with localized, locally advanced or metastatic PCa, respectively. The levels of tPSA in the four groups were (1.13±1.44)ng/ml, (1.77±3.45)ng/ml, (3.27±17.58)ng/ml, and (4.26±11.48)ng/ml, respectively, with statistically significant differences ( P<0.01). The positive number of biopsy in each group was 1 case(0.06%), 56 cases(0.79%), 81 cases(1.36%) and 24 cases(1.82%) respectively, with statistically significant differences ( P<0.01). The number of ISUP 4-5 grades in each group was 0, 17(30.35%), 29(35.80%), and 16(66.67%) respectively, with statistically significant differences ( P<0.01). Conclusions:Based on the medical community system, according to the tPSA screening results of the primary hospitals, it is feasible and effective to refer suspicious patients to the referral hospitals for mpMRI examination, and screen prostate cancer by ultrasound-guided transperineal prostate fusion biopsy.

Result Analysis
Print
Save
E-mail