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Article: A case of colonic muco-submucosal elongated polyp (CMSEP) misdiagnosed as a inverted colonic diverticulum (ICD).

Ma, Yimin / Zhang, Kangwei / Cao, Youhong

Revista espanola de enfermedades digestivas

2024

Abstract: CMSEP is a large intestine polyp with a long and broad stalk and a "worm-like" appearance which is covered by normal mucosa. The submucosal layer consists of edematous and fibrotic interstitium, adipose tissue, dilated blood vessels, and lymphatic ... ...

Abstract	CMSEP is a large intestine polyp with a long and broad stalk and a "worm-like" appearance which is covered by normal mucosa. The submucosal layer consists of edematous and fibrotic interstitium, adipose tissue, dilated blood vessels, and lymphatic follicles[1]. Endoscopic magnification of the mucosal surface showed a uniform honeycomb pattern of regular blood vessels, with soft and deformable "folds" and "gyrus" at the top. The exact pathogenesis of CMSEP is still unclear.
Language	English
Publishing date	2024-01-11
Publishing country	Spain
Document type	Journal Article
ZDB-ID	1070381-0
ISSN	1130-0108 ; 0212-7512
ISSN	1130-0108 ; 0212-7512
DOI	10.17235/reed.2024.10153/2023
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Article ; Online: Single-cell transcriptomic sequencing data reveal aberrant DNA methylation in SMAD3 promoter region in tumor-associated fibroblasts affecting molecular mechanism of radiosensitivity in non-small cell lung cancer.

Han, Fushi / Chen, Shuzhen / Zhang, Kangwei / Zhang, Kunming / Wang, Meng / Wang, Peijun

Journal of translational medicine

2024 Volume 22, Issue 1, Page(s) 288

Abstract: Objective: Non-small cell lung cancer (NSCLC) often exhibits resistance to radiotherapy, posing significant treatment challenges. This study investigates the role of SMAD3 in NSCLC, focusing on its potential in influencing radiosensitivity via the ITGA6/ ...

Abstract	Objective: Non-small cell lung cancer (NSCLC) often exhibits resistance to radiotherapy, posing significant treatment challenges. This study investigates the role of SMAD3 in NSCLC, focusing on its potential in influencing radiosensitivity via the ITGA6/PI3K/Akt pathway. Methods: The study utilized gene expression data from the GEO database to identify differentially expressed genes related to radiotherapy resistance in NSCLC. Using the GSE37745 dataset, prognostic genes were identified through Cox regression and survival analysis. Functional roles of target genes were explored using Gene Set Enrichment Analysis (GSEA) and co-expression analyses. Gene promoter methylation levels were assessed using databases like UALCAN, DNMIVD, and UCSC Xena, while the TISCH database provided insights into the correlation between target genes and CAFs. Experiments included RT-qPCR, Western blot, and immunohistochemistry on NSCLC patient samples, in vitro studies on isolated CAFs cells, and in vivo nude mouse tumor models. Results: Fifteen key genes associated with radiotherapy resistance in NSCLC cells were identified. SMAD3 was recognized as an independent prognostic factor for NSCLC, linked to poor patient outcomes. High expression of SMAD3 was correlated with low DNA methylation in its promoter region and was enriched in CAFs. In vitro and in vivo experiments confirmed that SMAD3 promotes radiotherapy resistance by activating the ITGA6/PI3K/Akt signaling pathway. Conclusion: High expression of SMAD3 in NSCLC tissues, cells, and CAFs is closely associated with poor prognosis and increased radiotherapy resistance. SMAD3 is likely to enhance radiotherapy resistance in NSCLC cells by activating the ITGA6/PI3K/Akt signaling pathway.
MeSH term(s)	Animals ; Mice ; Humans ; Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/radiotherapy ; Carcinoma, Non-Small-Cell Lung/metabolism ; Lung Neoplasms/genetics ; Lung Neoplasms/radiotherapy ; Lung Neoplasms/metabolism ; Cancer-Associated Fibroblasts/metabolism ; Proto-Oncogene Proteins c-akt/metabolism ; DNA Methylation/genetics ; Phosphatidylinositol 3-Kinases/genetics ; Phosphatidylinositol 3-Kinases/metabolism ; Radiation Tolerance/genetics ; Promoter Regions, Genetic/genetics ; Gene Expression Profiling ; Cell Line, Tumor ; Smad3 Protein/genetics ; Smad3 Protein/metabolism
Chemical Substances	Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; Phosphatidylinositol 3-Kinases (EC 2.7.1.-) ; SMAD3 protein, human ; Smad3 Protein
Language	English
Publishing date	2024-03-16
Publishing country	England
Document type	Journal Article
ZDB-ID	2118570-0
ISSN	1479-5876 ; 1479-5876
ISSN (online)	1479-5876
ISSN	1479-5876
DOI	10.1186/s12967-024-05057-2
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Article: Mesenchymal stem cells overexpressing XIST induce macrophage M2 polarization and improve neural stem cell homeostatic microenvironment, alleviating spinal cord injury.

Zhu, Dan / Peng, Tie / Zhang, Zhenwang / Guo, Shuang / Su, Ying / Zhang, Kangwei / Wang, Jiawei / Liu, Chao

Journal of tissue engineering

2024 Volume 15, Page(s) 20417314231219280

Abstract: Spinal cord injury (SCI) is a significant cause of disability worldwide, with limited treatment options. This study investigated the potential of bone marrow-derived mesenchymal stem cells (BMSCs) modified with XIST lentiviral vector to modulate ... ...

Abstract	Spinal cord injury (SCI) is a significant cause of disability worldwide, with limited treatment options. This study investigated the potential of bone marrow-derived mesenchymal stem cells (BMSCs) modified with XIST lentiviral vector to modulate macrophage polarization and affect neural stem cell (NSC) microenvironment reconstruction following SCI. Bioinformatics analysis revealed that MID1 might be crucial for BMSCs' treatment of SCI. XIST overexpression enriched Zmynd8 to the promoter region of MID1 and inhibited MID1 transcription, which promoted macrophage M2 polarization. In vitro experiments showed that BMSCs-XIST promoted NSC proliferation, migration, differentiation, and axonal growth by inducing macrophage M2 polarization, suppressing inflammation, and accelerating the re-establishment of the homeostatic microenvironment of NSCs. In vivo, animal experiments confirmed that BMSCs-XIST significantly alleviated SCI by promoting NSC differentiation and axon formation in the injured area. The study demonstrated the potential of XIST-overexpressing BMSCs for treating SCI by regulating macrophage polarization and homeostasis of the NSC microenvironment. These findings provide new insights into the development of stem cell-based therapies for SCI.
Language	English
Publishing date	2024-01-10
Publishing country	England
Document type	Journal Article
ZDB-ID	2573915-3
ISSN	2041-7314
ISSN	2041-7314
DOI	10.1177/20417314231219280
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Article ; Online: A Novel Tumor Progression Prediction Method for Multimode Ablation Treatment.

Wang, Xinyi / Li, Wentao / Zhang, Kangwei / Sun, Jianqi / Yang, Jianlong / Zhang, Aili / Xu, Lisa

IEEE transactions on bio-medical engineering

2022 Volume 69, Issue 4, Page(s) 1386–1397

Abstract: Objective: The multimode ablation of liver cancer, which uses radio-frequency heating after a pre-freezing process to treat the tumor, has shown significantly improved therapeutic effects and enhanced anti-tumor immune response. Unlike open surgery, the ...

Abstract	Objective: The multimode ablation of liver cancer, which uses radio-frequency heating after a pre-freezing process to treat the tumor, has shown significantly improved therapeutic effects and enhanced anti-tumor immune response. Unlike open surgery, the ablated lesions remain in the body after treatment, so it is critical to assess the immediate outcome and to monitor disease status over time. Here we propose a novel tumor progression prediction method for simultaneous postoperative evaluation and prognosis analysis. Methods: We propose to leverage the intraoperative therapeutic information extracted from thermal dose distribution. For tumors with specific sensitivity reflected in medical images, different thermal doses implicitly indicate the degree of instant damage and long-term inhibition excited under specific ablation energy. We further propose a survival analysis framework for the multimode ablation treatment. It extracts carefully designed features from clinical, preoperative, intraoperative, and postoperative data, then uses random survival forest for feature selection and deep neural networks for survival prediction. Results: We evaluated the proposed methods using clinical data. The results show that our method outperforms the state-of-the-art survival analysis methods with a C-index of 0.855±0.090. The thermal dose information contributes significantly to the prediction accuracy by taking up 21.7% of the overall feature importance. Conclusion: The proposed methods have been demonstrated to be a powerful tool in tumor progression prediction of multimode ablation therapy. Significance: This kind of data-driven prognosis analysis may benefit personalized medicine and simplify the follow-up process.
MeSH term(s)	Humans ; Liver Neoplasms/surgery ; Neural Networks, Computer ; Survival Analysis
Language	English
Publishing date	2022-03-18
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	160429-6
ISSN	1558-2531 ; 0018-9294
ISSN (online)	1558-2531
ISSN	0018-9294
DOI	10.1109/TBME.2021.3116607
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Article ; Online: A New Model for Estimation of Individual Blood Flow Effect during Multimode Thermal Therapy of Tumor

Wang, Yifei / Zhang, Kangwei / Zhang, Aili / Xu, Lisa X

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2020 Volume 2020, Page(s) 5053–5056

Abstract: An accurate temperate control is the key during multimode thermal therapy of tumor. However, the tumor tissue temperature is greatly influenced by local blood flow changes of individuals. A simple but effective method is proposed for estimation of the ... ...

Abstract	An accurate temperate control is the key during multimode thermal therapy of tumor. However, the tumor tissue temperature is greatly influenced by local blood flow changes of individuals. A simple but effective method is proposed for estimation of the local blood flow and its impact on the ablation boundary temperature. The proposed model is focused on the tumor domain, namely the targeted treatment region. In the natural thawing process post tumor freezing during the therapy, the main energy transferring to the tumor tissue comes from the blood flow of the surrounding normal tissue on the tumor boundary. By fitting the rewarming temperature measured in the tissue, the inversed problem is solved by the model to calculate the boundary convection condition and thus to predict the corresponding blood perfusion rate. The model is validated by the animal experimental data. The calculated blood perfusion rates are within the published range, but differ individually. The results prove that the new model and the estimated personalized convection coefficient can better predict the tissue temperature distribution during the therapy.Clinical Relevance-The model estimates the local blood flows around the tumor of individuals and the influence on heat transfer process. It can be used to better predict and control the temperature on the tumor boundary during the therapy that is critical to the therapeutic effect. The model also greatly cuts down the calculation time which facilitates the possibility of intraoperative real time monitoring.
MeSH term(s)	Animals ; Convection ; Energy Transfer ; Hot Temperature ; Humans ; Neoplasms/therapy ; Temperature
Language	English
Publishing date	2020-10-05
Publishing country	United States
Document type	Journal Article
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC44109.2020.9175795
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Article ; Online: Risk factors for poor outcomes of spontaneous supratentorial cerebral hemorrhage after surgery.

Zhang, Kangwei / Wei, Lai / Zhou, Xiang / Yang, Baoqing / Meng, Jinxi / Wang, Peijun

Journal of neurology

2021 Volume 269, Issue 6, Page(s) 3015–3025

Abstract: Objective: This study aimed to explore the factors affecting the outcomes of spontaneous supratentorial cerebral hemorrhage 90 days after surgery.: Methods: A total of 256 patients with spontaneous supratentorial intracerebral hemorrhage underwent ... ...

Abstract	Objective: This study aimed to explore the factors affecting the outcomes of spontaneous supratentorial cerebral hemorrhage 90 days after surgery. Methods: A total of 256 patients with spontaneous supratentorial intracerebral hemorrhage underwent craniotomy evacuation of hematoma. The control group included 120 patients who received conservative treatment. The patients were divided into two subgroups based on a bifurcation of the modified Rankin Scale (mRS) 90 days after clinical therapeutics: good outcome (mRS score 0-3) and poor outcome (mRS score 4-6). The differences in clinical and imaging data between the two subgroups were analyzed. Based on difference analysis results, a binary logistic regression model was constructed to analyze the influencing factors related to poor outcomes. Results: The difference analysis results in the surgery group showed statistically significant differences in age, sex, Glasgow Coma Score (GCS) on admission, coronary atherosclerosis, smoking, stroke history, blood glucose, D-dimer, hematoma size, deep cerebral hemorrhage, midline shift, hematoma burst into the ventricle, vortex sign, island sign, and black hole sign. Binary logistic regression analysis showed that deep cerebral hemorrhage, midline shift, and age > 58 years independently correlated with the poor outcomes of patients after surgery. The binary logistic regression results of the control group showed that age > 58 years and GCS ≤ 8 independently correlated with the poor outcomes of patients. Conclusions: Deep cerebral hemorrhage, midline shift, and age > 58 years significantly increased the risk of adverse prognosis in patients after surgery. The findings might help select the clinical treatment plan and evaluate the postoperative prognosis of patients.
MeSH term(s)	Cerebral Hemorrhage/complications ; Cerebral Hemorrhage/diagnostic imaging ; Cerebral Hemorrhage/surgery ; Glasgow Coma Scale ; Hematoma/etiology ; Humans ; Middle Aged ; Retrospective Studies ; Risk Factors ; Treatment Outcome
Language	English
Publishing date	2021-11-17
Publishing country	Germany
Document type	Journal Article
ZDB-ID	187050-6
ISSN	1432-1459 ; 0340-5354 ; 0012-1037 ; 0939-1517 ; 1619-800X
ISSN (online)	1432-1459
ISSN	0340-5354 ; 0012-1037 ; 0939-1517 ; 1619-800X
DOI	10.1007/s00415-021-10888-w
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Article: A Novel Multi-Mode Thermal Therapy for Colorectal Cancer Liver Metastasis: A Pilot Study.

Li, Wentao / Lou, Yue / Wang, Guangzhi / Zhang, Kangwei / Xu, Lichao / Liu, Ping / Xu, Lisa X

Biomedicines

2022 Volume 10, Issue 2

Abstract: A novel multi-mode thermal therapy was developed for local tumor ablation and the systemic stimulation of anti-tumor immunity, consisting of a rapid liquid nitrogen freezing, and followed by the radiofrequency heating of target tumor tissue. This pilot ... ...

Abstract	A novel multi-mode thermal therapy was developed for local tumor ablation and the systemic stimulation of anti-tumor immunity, consisting of a rapid liquid nitrogen freezing, and followed by the radiofrequency heating of target tumor tissue. This pilot study aimed to compare the therapeutic effects of the new therapy with conventional radiofrequency ablation (RFA) on patients with colorectal cancer liver metastasis (CRCLM). From August 2016 to September 2019, thirty-one patients with CRCLM received either multi-mode thermal therapy (
Language	English
Publishing date	2022-01-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2720867-9
ISSN	2227-9059
ISSN	2227-9059
DOI	10.3390/biomedicines10020280
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Article: Outcome Prediction of Spontaneous Supratentorial Intracerebral Hemorrhage after Surgical Treatment Based on Non-Contrast Computed Tomography: A Multicenter Study.

Zhang, Kangwei / Zhou, Xiang / Xi, Qian / Wang, Xinyun / Yang, Baoqing / Meng, Jinxi / Liu, Ming / Dong, Ningxin / Wu, Xiaofen / Song, Tao / Wei, Lai / Wang, Peijun

Journal of clinical medicine

2023 Volume 12, Issue 4

Abstract: This study aims to explore the value of a machine learning (ML) model based on radiomics features and clinical features in predicting the outcome of spontaneous supratentorial intracerebral hemorrhage (sICH) 90 days after surgery. A total of 348 patients ...

Abstract	This study aims to explore the value of a machine learning (ML) model based on radiomics features and clinical features in predicting the outcome of spontaneous supratentorial intracerebral hemorrhage (sICH) 90 days after surgery. A total of 348 patients with sICH underwent craniotomy evacuation of hematoma from three medical centers. One hundred and eight radiomics features were extracted from sICH lesions on baseline CT. Radiomics features were screened using 12 feature selection algorithms. Clinical features included age, gender, admission Glasgow Coma Scale (GCS), intraventricular hemorrhage (IVH), midline shift (MLS), and deep ICH. Nine ML models were constructed based on clinical feature, and clinical features + radiomics features, respectively. Grid search was performed on different combinations of feature selection and ML model for parameter tuning. The averaged receiver operating characteristics (ROC) area under curve (AUC) was calculated and the model with the largest AUC was selected. It was then tested using multicenter data. The combination of lasso regression feature selection and logistic regression model based on clinical features + radiomics features had the best performance (AUC: 0.87). The best model predicted an AUC of 0.85 (95%CI, 0.75-0.94) on the internal test set and 0.81 (95%CI, 0.64-0.99) and 0.83 (95%CI, 0.68-0.97) on the two external test sets, respectively. Twenty-two radiomics features were selected by lasso regression. The second-order feature gray level non-uniformity normalized was the most important radiomics feature. Age is the feature with the greatest contribution to prediction. The combination of clinical features and radiomics features using logistic regression models can improve the outcome prediction of patients with sICH 90 days after surgery.
Language	English
Publishing date	2023-02-16
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662592-1
ISSN	2077-0383
ISSN	2077-0383
DOI	10.3390/jcm12041580
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Article ; Online: An Noninvasive and Impedance-Ignored Control Strategy of the Ablation Zone in Radiofrequency Ablation Therapy.

Zheng, Yaobin / Zhang, Kangwei / Zou, Jincheng / Zou, Ke / Sun, Jianqi / Zhang, Aili

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

2019 Volume 2019, Page(s) 5514–5517

Abstract: This study proposed a control strategy of the ablation margin using the temperature of the probe, without causing additional damage. Compared with other methods, the proposed strategy is real time and impedance-ignored, thus has a better performance in ... ...

Abstract	This study proposed a control strategy of the ablation margin using the temperature of the probe, without causing additional damage. Compared with other methods, the proposed strategy is real time and impedance-ignored, thus has a better performance in practice. A theoretical model was established to obtain the temperature distribution during the treatment. Several functions were obtained by fitting the results of the simulation model, with which a preset central temperature curve corresponding to a desired ablation zone was determined to regulate the temperature of the control point. Considering the various impedances in practice, a voltage adjustment method according to the error between the preset central temperature and the practical central temperature was proposed to minimize the effect of impedances. At last, the strategy was verified with phantom experiments. The results show that all the temperatures of the control points reached to 50°C at a specific time and kept for a while, which demonstrated the strategy had a good performance within the error range allowed.
MeSH term(s)	Body Temperature ; Catheter Ablation ; Electric Impedance ; Models, Theoretical ; Temperature
Language	English
Publishing date	2019-12-30
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	2694-0604
ISSN (online)	2694-0604
DOI	10.1109/EMBC.2019.8857727
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Article ; Online: Theoretical and experimental study of dual-fiber laser ablation for prostate cancer.

Wu, Xing / Zhang, Kangwei / Chen, Yini / Wang, Ren / Chen, Lei / Zhang, Aili / Hu, Bing

PloS one

2018 Volume 13, Issue 10, Page(s) e0206065

Abstract: Single-fiber laser treatment of the prostate has been widely accepted in the clinic due to its minimal invasiveness and high controllability. However, for large tumors, multiple insertions of the laser probe would be needed to achieve full coverage of ... ...

Abstract	Single-fiber laser treatment of the prostate has been widely accepted in the clinic due to its minimal invasiveness and high controllability. However, for large tumors, multiple insertions of the laser probe would be needed to achieve full coverage of the tumor, increasing the complexity of the treatment and occasionally resulting in the incomplete killing of tumor cells due to a mismatch between the planned insertion location and the actual probe insertion location. Treatment with a dual-fiber laser results in greater lesion coverage following a single insertion of the probe, with the lesion coverage being even greater than the sum of the coverage of two sequential insertion of a single-fiber laser probe, potentially reducing treatment time and clinical complications. Both theoretical and experimental analyses have been performed to evaluate the proposed dual-fiber laser treatment. A finite element model was established to simulate the treatment process. The simulation results indicated that there is a clear difference between the ablation coverage created using dual-fiber laser ablation and that created using the superposition of sequential single-fiber laser ablation. In addition, the coverage is dependent on the spacing distance between the two fibers. Both ex vivo and in vivo canine prostate tissues were treated by dual-fiber laser ablation, with lesions analyzed by magnetic resonance imaging (MRI), ultrasound imaging, and pathology. The results demonstrate that dual-fiber laser ablation can markedly increase the range of the ablation zone when compared with single-fiber modes. The safety and feasibility of dual-fiber laser treatment has been confirmed, and a treatment plan using dual-fiber laser ablation has also been proposed.
MeSH term(s)	Animals ; Computer Simulation ; Dogs ; Humans ; Laser Therapy ; Male ; Models, Biological ; Prostatic Neoplasms/surgery ; Temperature
Language	English
Publishing date	2018-10-24
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1932-6203
ISSN (online)	1932-6203
DOI	10.1371/journal.pone.0206065
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