1.Clinicopathological characteristics of well-differentiated papillary mesothelial tumor
Zhen YANG ; Xianglan LIU ; Feng HOU ; Longxiao ZHANG ; Yujun LI ; Dongliang LIN
Chinese Journal of Pathology 2025;54(9):953-957
Objective:To investigate the clinicopathological characteristics of well-differentiated papillary mesothelial tumor (WDPMT).Methods:Sixteen cases of resected WDPMTs diagnosed at the Affiliated Hospital of Qingdao University, Qingdao, China from 2017 to 2024 were collected and the clinicopathological features were retrospectively analyzed.Results:There were 7 males amd 9 females, with a mean age of 53.8±14.8 years (range, 25-83 years). Tumor size ranged from 3 to 12 mm in maximum diameter. Of the 16 cases, 15 involved the peritoneum and 1 involved the pleura, one of which occurred on the surface of ovary. All cases were incidentally identified during unrelated surgical procedures. Histologically, tumors exhibited arborizing papillary growth patterns and frequently displayed hierarchically branching papilla. Tumor cells showed cuboidal to flattened cell morphology with minimal nuclear atypia. Mitotic figures were not noted in all cases. Entrapped gland-like tumor cell clusters were found in the stroma of tumor papilla in 1 of the 16 cases. Immunohistochemically, the tumor cells expressed mesothelial markers (Calretinin, D2-40, and CK5/6) in all cases, and BAP1 and MTAP were immunoreactive in all tested cases. Fluorescence in situ hybridization revealed no CDKN2A deletions.Conclusions:WDPMT predominantly occurs in the peritoneum and typically demonstrates indolent biological behaviors. It often shows overlapping features with mesothelioma in situ and epithelioid mesothelioma. The hierarchical branching papillae is its diagnostic hallmark, while routine immunohistochemical evaluation of BAP1 and MTAP is also recommended for differential diagnosis of these tumors.
2.EBV-positive nodal T-and NK-cell lymphoma:an analysis of 5 cases with clinico-pathological features
Yongta HUANG ; Wenwen GUO ; Xia LIU ; Ling LI ; Qiurong YE ; Xianglan MO
Chinese Journal of Clinical and Experimental Pathology 2025;41(2):186-190
Purpose To explore the clinicopathological features of EBV-positive nodal T-and NK-cell lymphoma.Methods Clinical and pathological data of 5 cases were collected.The expression of CD3,CD56,TIA-1,Granzyme B and other markers were detected by immunohistochemistry.The expression of EBER was detected by in situ hybrid-ization.The gene rearrangement and clonality were analyzed by PCR and polyacrylamide gel electrophoresis.The litera-tures were reviewed.Results The primary lesions of the 5 patients were all located in lymph nodes.All patients pres-ented with multiple lymphadenopathy,B symptoms,elevated lactate dehydrogenase(LDH)and C-reactive protein(CRP),and were in stage Ⅲ/Ⅳ.Histopathologically,the lesions show a diffuse infiltration of large to medium monot-onous tumor lymphocytes.Cell apoptosis,necrosis,and vascular invasion were not significant.Tumor cells of all cases were positive for CD3 but negative for CD56.All cases were positive for the cytotoxic markers.In situ hybridization de-tection showed that the majority of tumor cells were diffusely positive for EBER.Nevertheless,only 4 cases were posi-tive for TCR gene clonal rearrangement.Three patients received chemotherapy,2 patient declined the treatments.The median overall survival was only 3 months.Conclusions EBV-positive nodal T-and NK-cell lymphoma is an EBV-positive lymphoma of cytotoxic T-or NK-cell lineage presenting primarily with nodal disease,which is more common in elderly males.The patient has obvious symptoms and signs,rapid disease progression,and poor prognosis.Under-standing the clinicopathological features of EBV-positive nodal T-and NK-cell lymphoma can help differentiate it from other EBV-positive T-and NK-cell lymphoid proliferations and lymphomas.
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.Association between non-traditional blood lipid parameters and cognitive function in patients with cerebral small vessel disease
Journal of Apoplexy and Nervous Diseases 2025;42(4):335-340
Objective To explore the association between cognitive function and non-traditional blood lipid parameters in patients with cerebral small vessel disease (CSVD). Methods A prospective study was conducted among 376 CSVD patients who were treated in Dongfang Hospital,Beijing University of Chinese Medicine,from July 2017 to August 2022. Blood samples were collected from all subjects in the morning after 12 hours of fasting to measure blood lipid parameters,and then non-traditional blood lipid parameters were calculated. According to the Montreal Cognitive Assessment Scale,the patients were divided into cognitive impairment CSVD group and non-cognitive impairment CSVD group. A multivariate logistic regression analysis was used to investigate the association between non-traditional blood lipid parameters and cognitive function in CSVD patients,and the receiver operating characteristic (ROC) curve was used to assess their predictive value. Results A total of 376 CSVD patients were enrolled,among whom there were 250 patients with cognitive impairment and 126 patients without cognitive impairment. The multivariate logistic regression analysis showed that TC/HDL-C (OR=1.454,95%CI 1.147-1.843,P=0.002) and LDL-C/HDL-C ratio (OR=1.457,95% CI 1.109-1.915,P=0.023) were independently associated with cognitive impairment in CSVD patients. The ROC curve analysis showed that TC/HDL-C ratio had an area under the ROC curve (AUC) of 0.606 (95%CI 0.547-0.665) in predicting cognitive impairment in CSVD patients,with a sensitivity of 0.560 and a specificity of 0.659; LDL-C/HDL-C ratio had an AUC 0.617 (95%CI 0.558-0.676) in predicting cognitive impairment,with a sensitivity of 0.552 and a specificity of 0.762; TC/HDL-C ratio combined with LDL-C/HDL-C ratio had an AUC of 0.776 (95%CI 0.726-0.825) in predicting cognitive impairment,with a sensitivity of 0.772 and a specificity of 0.667. Conclusion Increases in TC/HDL-C ratio and LDL-C/HDL-C ratio are risk factors for cognitive impairment in CSVD patients and thus have a certain predictive value for cognitive impairment in CSVD patients,and the combination of these two ratios has a higher predictive value.
5.Relationship between GST gene polymorphism and susceptibility to occupational noise induced hearing loss
Fang JI ; Jian ZHANG ; Li RONG ; Xiaowen DING ; Xianglan CUI ; Xiaodong LIU ; Jue LI
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(10):728-734
Objective:To investigate the relationship between susceptibility to hearing loss in noise-exposed Han Chinese male homo sapiens and glutathione S-transferase (GST) gene polymorphisms, providing a scientific basis for further understanding the pathogenic mechanisms of noise-induced hearing loss (NIHL) and screening for genetic susceptibility biomarkers.Methods:In May 2024, a cross-sectional survey was conducted to recruit 332 male Han workers exposed to noise from a prominent mechanical maintenance enterprise. Workers were classified into the hearing loss group if they exhibited a binaural high-frequency average hearing threshold exceeding 25 dB and a binaural speech frequency average hearing threshold loss that was less than the binaural high-frequency average hearing threshold loss, resulting in a total of 332 individuals in this group. Furthermore, a matched group of 332 hearing-normal workers was established on a 1∶1 basis for each hearing-impaired worker, using criteria such as the same job type, age, and a noise exposure duration of ≤4 years. Basic data of worker was collected through a questionnaire survey, and individual noise exposure levels were assessed using cumulative noise exposure (CNE). Various PCR and high-throughput sequencing techniques were employed to identify polymorphisms in the GSTT1, GSTM1, and GSTP1rs1695 genes. The basic information and genotypes of the two groups were compared using paired t-tests and paired chi-square tests. A Cox regression model was utilized to establish a 1∶1 paired logistic regression model to examine the correlation between GST gene polymorphisms and susceptibility to NIHL. Results:Individuals with GSTM1 and GSTT1 gene deletion are more susceptible to NIHL compared to those with existing genes, even after adjusting for other factors ( OR=1.464, 95% CI: 1.02-2.09; OR=0.68, 95% CI: 1.06-2.02). Wearing protective equipment occasionally, rather than consistently, significantly increases the risk of NIHL ( OR=1.38, 95% CI: 1.01-1.88). There was no link between GSTP1rs1695 polymorphism and NIHL risk ( P>0.05) . Conclusion:The deletion of GSTM1 and GSTT1 genes is an independent influencing factor that increases the risk of NIHL, and can be considered as a genetic susceptibility biomarker for the NIHL population. Strengthening personal hearing protection is an effective measure to reduce the risk of NIHL.
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.Discussion on Technical Characteristics of National Drug Standards for Traditional Chinese Medicine Dispensing Granules
Shengjun CHEN ; Song LI ; Kejia GUO ; Yuntian ZHANG ; Haiqin ZHOU ; Xianglan PU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(10):256-264
On the premise of respecting the objective law of the occurrence and development of traditional Chinese medicine(TCM) dispensing granules, relevant national departments have gradually formed the research and formulation ideas of national drug standards for dispensing granules based on the experiences and lessons learned in the development process of quality standards, as well as the formation mechanism of national standards for dispensing granules. This has certain reference significance for the formulation path of TCM quality standards. Combined with the general situation of the published standards and specific cases, the research concepts of the national standards for dispensing granules were analyzed and summarized in this paper, and the analysis of the technical characteristics of the issued national standards was focused, including the introduction of standard decoction, the overall quality control of TCM, the whole process quality control and other research ideas. At the same time, it summarized the industry common problems in the research and development process of national standards for dispensing granules, such as the source and process control of medicinal materials, and strived to solve them together, encouraging the demonstration and application of new technological means in the field of TCM dispensing granules. Finally, based on the literature analysis, the shortcomings of the current national standards were discussed, and relevant suggestions were put forward to further improve the national standards for dispensing granules. Through the overall analysis, it is helpful to comprehensively understand the technical characteristics of the national standards for TCM dispensing granules, and provide reference for the scientific exploration and practice of quality control methods for TCM.
8.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.
9.Relationship between GST gene polymorphism and susceptibility to occupational noise induced hearing loss
Fang JI ; Jian ZHANG ; Li RONG ; Xiaowen DING ; Xianglan CUI ; Xiaodong LIU ; Jue LI
Chinese Journal of Industrial Hygiene and Occupational Diseases 2025;43(10):728-734
Objective:To investigate the relationship between susceptibility to hearing loss in noise-exposed Han Chinese male homo sapiens and glutathione S-transferase (GST) gene polymorphisms, providing a scientific basis for further understanding the pathogenic mechanisms of noise-induced hearing loss (NIHL) and screening for genetic susceptibility biomarkers.Methods:In May 2024, a cross-sectional survey was conducted to recruit 332 male Han workers exposed to noise from a prominent mechanical maintenance enterprise. Workers were classified into the hearing loss group if they exhibited a binaural high-frequency average hearing threshold exceeding 25 dB and a binaural speech frequency average hearing threshold loss that was less than the binaural high-frequency average hearing threshold loss, resulting in a total of 332 individuals in this group. Furthermore, a matched group of 332 hearing-normal workers was established on a 1∶1 basis for each hearing-impaired worker, using criteria such as the same job type, age, and a noise exposure duration of ≤4 years. Basic data of worker was collected through a questionnaire survey, and individual noise exposure levels were assessed using cumulative noise exposure (CNE). Various PCR and high-throughput sequencing techniques were employed to identify polymorphisms in the GSTT1, GSTM1, and GSTP1rs1695 genes. The basic information and genotypes of the two groups were compared using paired t-tests and paired chi-square tests. A Cox regression model was utilized to establish a 1∶1 paired logistic regression model to examine the correlation between GST gene polymorphisms and susceptibility to NIHL. Results:Individuals with GSTM1 and GSTT1 gene deletion are more susceptible to NIHL compared to those with existing genes, even after adjusting for other factors ( OR=1.464, 95% CI: 1.02-2.09; OR=0.68, 95% CI: 1.06-2.02). Wearing protective equipment occasionally, rather than consistently, significantly increases the risk of NIHL ( OR=1.38, 95% CI: 1.01-1.88). There was no link between GSTP1rs1695 polymorphism and NIHL risk ( P>0.05) . Conclusion:The deletion of GSTM1 and GSTT1 genes is an independent influencing factor that increases the risk of NIHL, and can be considered as a genetic susceptibility biomarker for the NIHL population. Strengthening personal hearing protection is an effective measure to reduce the risk of NIHL.
10.EBV-positive nodal T-and NK-cell lymphoma:an analysis of 5 cases with clinico-pathological features
Yongta HUANG ; Wenwen GUO ; Xia LIU ; Ling LI ; Qiurong YE ; Xianglan MO
Chinese Journal of Clinical and Experimental Pathology 2025;41(2):186-190
Purpose To explore the clinicopathological features of EBV-positive nodal T-and NK-cell lymphoma.Methods Clinical and pathological data of 5 cases were collected.The expression of CD3,CD56,TIA-1,Granzyme B and other markers were detected by immunohistochemistry.The expression of EBER was detected by in situ hybrid-ization.The gene rearrangement and clonality were analyzed by PCR and polyacrylamide gel electrophoresis.The litera-tures were reviewed.Results The primary lesions of the 5 patients were all located in lymph nodes.All patients pres-ented with multiple lymphadenopathy,B symptoms,elevated lactate dehydrogenase(LDH)and C-reactive protein(CRP),and were in stage Ⅲ/Ⅳ.Histopathologically,the lesions show a diffuse infiltration of large to medium monot-onous tumor lymphocytes.Cell apoptosis,necrosis,and vascular invasion were not significant.Tumor cells of all cases were positive for CD3 but negative for CD56.All cases were positive for the cytotoxic markers.In situ hybridization de-tection showed that the majority of tumor cells were diffusely positive for EBER.Nevertheless,only 4 cases were posi-tive for TCR gene clonal rearrangement.Three patients received chemotherapy,2 patient declined the treatments.The median overall survival was only 3 months.Conclusions EBV-positive nodal T-and NK-cell lymphoma is an EBV-positive lymphoma of cytotoxic T-or NK-cell lineage presenting primarily with nodal disease,which is more common in elderly males.The patient has obvious symptoms and signs,rapid disease progression,and poor prognosis.Under-standing the clinicopathological features of EBV-positive nodal T-and NK-cell lymphoma can help differentiate it from other EBV-positive T-and NK-cell lymphoid proliferations and lymphomas.

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