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  1. Article ; Online: ASO Author Reflections: Can Nodal Features Improve Treatment Response Prediction in Esophageal Cancer?

    Li, Kunwei / Zhang, Shuaitong / Shan, Hong

    Annals of surgical oncology

    2023  Volume 30, Issue 13, Page(s) 8282–8283

    MeSH term(s) Humans ; Esophageal Neoplasms/surgery ; Lymph Nodes ; Esophagectomy
    Language English
    Publishing date 2023-09-20
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 1200469-8
    ISSN 1534-4681 ; 1068-9265
    ISSN (online) 1534-4681
    ISSN 1068-9265
    DOI 10.1245/s10434-023-14299-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Targeted Nanophotoimmunotherapy Potentiates Cancer Treatment by Enhancing Tumor Immunogenicity and Improving the Immunosuppressive Tumor Microenvironment.

    Li, Kunwei / Yang, Dan / Liu, Dechun

    Bioconjugate chemistry

    2023  Volume 34, Issue 2, Page(s) 283–301

    Abstract: Cancer immunotherapy, such as immune checkpoint blockade, chimeric antigen receptor, and cytokine therapy, has emerged as a robust therapeutic strategy activating the host immune system to inhibit primary and metastatic lesions. However, low tumor ... ...

    Abstract Cancer immunotherapy, such as immune checkpoint blockade, chimeric antigen receptor, and cytokine therapy, has emerged as a robust therapeutic strategy activating the host immune system to inhibit primary and metastatic lesions. However, low tumor immunogenicity (LTI) and immunosuppressive tumor microenvironment (ITM) severely compromise the killing effect of immune cells on tumor cells, which fail to evoke a strong and effective immune response. As an exogenous stimulation therapy, phototherapy can induce immunogenic cell death (ICD), enhancing the therapeutic effect of tumor immunotherapy. However, the lack of tumor targeting and the occurrence of immune escape significantly reduce its efficacy
    MeSH term(s) Humans ; Tumor Microenvironment ; Immunotherapy ; Neoplasms/therapy ; Immunosuppressive Agents/pharmacology ; Antigens, Neoplasm ; Nanoparticles/therapeutic use ; Cell Line, Tumor
    Chemical Substances Immunosuppressive Agents ; Antigens, Neoplasm
    Language English
    Publishing date 2023-01-17
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 1024041-x
    ISSN 1520-4812 ; 1043-1802
    ISSN (online) 1520-4812
    ISSN 1043-1802
    DOI 10.1021/acs.bioconjchem.2c00593
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Proton-Gradient-Driven Porphyrin-Based Liposome Remote-Loaded with Imiquimod as In Situ Nanoadjuvants for Synergistically Augmented Tumor Photoimmunotherapy.

    Liu, Dechun / Fu, Luyao / Gong, Linlin / Li, Shasha / Li, Kunwei / Liu, Kunhong / Yang, Dan

    ACS applied materials & interfaces

    2024  Volume 16, Issue 7, Page(s) 8403–8416

    Abstract: Cancer immunotherapy is expected to achieve tumor treatment mainly by stimulating the patient's own immune system to kill tumor cells. However, the low immunogenicity of the tumor and the poor efficiency of tumor antigen presentation result in a variety ... ...

    Abstract Cancer immunotherapy is expected to achieve tumor treatment mainly by stimulating the patient's own immune system to kill tumor cells. However, the low immunogenicity of the tumor and the poor efficiency of tumor antigen presentation result in a variety of solid tumors that do not respond to immunotherapy. Herein, we designed a proton-gradient-driven porphyrin-based liposome (PBL) with highly efficient Toll-like receptor 7 (TLR7) agonist (imiquimod, R837) encapsulation (R837@PBL). R837@PBL rapidly released R837 in the acid microenvironment to activate the TLR in the endosome inner membrane to promote bone-marrow-derived dendritic cell maturation and enhance antigen presentation. R837@PBL upon laser irradiation triggered immunogenic cell death of tumor cells and tumor-associated antigen release after subcutaneous injection, activated TLR7, formed in situ tumor nanoadjuvants, and enhanced the antigen presentation efficiency. Photoimmunotherapy promoted the infiltration of cytotoxic T lymphocytes into tumor tissues, inhibited the growth of the treated and abscopal tumors, and exerted highly effective photoimmunotherapeutic effects. Hence, our designed in situ tumor nanoadjuvants are expected to be an effective treatment for treated and abscopal tumors, providing a novel approach for synergistic photoimmunotherapy of tumors.
    MeSH term(s) Humans ; Imiquimod/pharmacology ; Liposomes/pharmacology ; Toll-Like Receptor 7/agonists ; Protons ; Porphyrins/pharmacology ; Neoplasms/therapy ; Immunotherapy ; Adjuvants, Immunologic/pharmacology ; Antigens, Neoplasm ; Tumor Microenvironment ; Cell Line, Tumor
    Chemical Substances Imiquimod (P1QW714R7M) ; Liposomes ; Toll-Like Receptor 7 ; Protons ; Porphyrins ; Adjuvants, Immunologic ; Antigens, Neoplasm
    Language English
    Publishing date 2024-02-09
    Publishing country United States
    Document type Journal Article
    ISSN 1944-8252
    ISSN (online) 1944-8252
    DOI 10.1021/acsami.3c17133
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A CT-based deep learning model

    Xiaofeng Lin / Kunfeng Liu / Kunwei Li / Xiaojuan Chen / Biyun Chen / Sheng Li / Huai Chen / Li Li

    iScience, Vol 27, Iss 1, Pp 108712- (2024)

    visceral pleural invasion and survival prediction in clinical stage IA lung adenocarcinoma

    1481  

    Abstract: Summary: Pathologic visceral pleural invasion (VPI) in patients with early-stage lung cancer can result in the upstaging of T1 to T2, in addition to having implications for surgical resection and prognostic outcomes. This study was designed with the goal ...

    Abstract Summary: Pathologic visceral pleural invasion (VPI) in patients with early-stage lung cancer can result in the upstaging of T1 to T2, in addition to having implications for surgical resection and prognostic outcomes. This study was designed with the goal of establishing and validating a CT-based deep learning (DL) model capable of predicting VPI status and stratifying patients based on their prognostic outcomes. In total, 2077 patients from three centers with pathologically confirmed clinical stage IA lung adenocarcinoma were enrolled. DL signatures were extracted with a 3D residual neural network. DL model was able to effectively predict VPI status. VPI predicted by the DL models, as well as pathologic VPI, was associated with shorter disease-free survival. The established deep learning signature provides a tool capable of aiding the accurate prediction of VPI in patients with clinical stage IA lung adenocarcinoma, thus enabling prognostic stratification.
    Keywords Radiology ; Bioinformatics ; Neural networks ; Cancer ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: A systemic pan-cancer analysis of MPZL3 as a potential prognostic biomarker and its correlation with immune infiltration and drug sensitivity in breast cancer.

    Huang, Renhong / Li, Liangqiang / Wang, Zheng / Shen, Kunwei

    Frontiers in oncology

    2022  Volume 12, Page(s) 901728

    Abstract: Background: This study aimed to analyze the role of myelin protein zero-like 3 (MPZL3), a single membrane glycoprotein, in prognosis, tumor immune infiltration, and drug susceptibility in human cancers.: Methods: Data regarding MPZL3 were extracted ... ...

    Abstract Background: This study aimed to analyze the role of myelin protein zero-like 3 (MPZL3), a single membrane glycoprotein, in prognosis, tumor immune infiltration, and drug susceptibility in human cancers.
    Methods: Data regarding MPZL3 were extracted from the TCGA, GTEx, CellMiner, CCLE, TIMER, GSEA, and USCS Xena databases. The expression difference, survival outcomes, DNA methylation, tumor mutation burden (TMB), microsatellite instability (MSI), mismatch repair (MMR), tumor microenvironment (TME), immune cell infiltration, and drug sensitivity of MPZL3 were analyzed by R language software. Cell proliferation and drug sensitivity tests were applied to analyze the biological role of MPZL3 and drug sensitivities in breast cancer.
    Results: MPZL3 was highly expressed in most cancer types and correlated with unfavorable survival outcomes in several cancers. TMB, MSI, MMR, DNA methylation, and RNA modification played a significant role in mediating MPZL3 dysregulation in cancers, and MPZL3 was closely linked to CD8+ T cells and CD4+ T immune infiltration. The MPML3 mRNA level was associated with protein secretion, the Notch signaling pathway, and heme metabolism. In addition, drug sensitivity analysis and validation also indicated that MPZL3 expression influenced the sensitivity of therapeutics targeting EGFR, ABL, FGFR, etc. Additionally, MPZL3 overexpression contributed to proliferation and drug sensitivity in different subtypes of breast cancer.
    Conclusions: This study provides a comprehensive analysis and understanding of the oncogenic roles of the pan-cancer gene MPZL3 across different tumors, including breast cancer. MPZL3 could be a potential prognostic biomarker and therapeutic target for breast cancer.
    Language English
    Publishing date 2022-07-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.901728
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Association of Ki-67 Change Pattern After Core Needle Biopsy and Prognosis in HR+/HER2- Early Breast Cancer Patients.

    Li, Shuai / Chen, Xiaosong / Shen, Kunwei

    Frontiers in surgery

    2022  Volume 9, Page(s) 905575

    Abstract: Background: To investigate the association of Ki-67 change pattern after core needle biopsy (CNB) and prognosis in HR+/HER2- early breast cancer patients.: Method: Eligible patients were categorized into three groups: Low group, Elevation group, and ... ...

    Abstract Background: To investigate the association of Ki-67 change pattern after core needle biopsy (CNB) and prognosis in HR+/HER2- early breast cancer patients.
    Method: Eligible patients were categorized into three groups: Low group, Elevation group, and High group. Chi-square test and logistic regression analysis were used to compare the clinic-pathological characteristics. Kaplan-Meier method was used to estimate the rates of recurrence-free interval (RFI) and breast cancer-specific survival (BCSS), which were compared
    Results: A total of 2,858 patients were included: 1,179 (41.3%), 482 (16.9%), and 1,197 (41.8%) patients were classified into the low, elevation, and high groups, respectively. Age, tumor size, histological grade, lymph-vascular invasion (LVI), and ER level status were associated with Ki-67 change pattern after CNB. With a median follow-up of 53.6 months, the estimated 5-year RFI rates for the low group, elevation, and high groups were 96.4%, 95.3% and 90.9%, respectively (
    Conclusions: Ki-67 change after CNB was associated with prognosis in HR+/HER2- early breast cancer. Patients with Ki-67 high or elevation after CNB had an inferior disease outcome, indicating the necessity of re-evaluating Ki-67 on surgical specimens after CNB.
    Language English
    Publishing date 2022-06-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2773823-1
    ISSN 2296-875X
    ISSN 2296-875X
    DOI 10.3389/fsurg.2022.905575
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Accuracy of ultrasonographic changes during neoadjuvant chemotherapy to predict axillary lymph node response in clinical node-positive breast cancer patients.

    Li, Zhuoxuan / Tong, Yiwei / Chen, Xiaosong / Shen, Kunwei

    Frontiers in oncology

    2022  Volume 12, Page(s) 845823

    Abstract: Purpose: To evaluate whether changes in ultrasound features during neoadjuvant chemotherapy (NAC) could predict axillary node response in clinically node-positive breast cancer patients.: Methods: Patients with biopsy-proven node-positive disease ... ...

    Abstract Purpose: To evaluate whether changes in ultrasound features during neoadjuvant chemotherapy (NAC) could predict axillary node response in clinically node-positive breast cancer patients.
    Methods: Patients with biopsy-proven node-positive disease receiving NAC between February 2009 and March 2021 were included. Ultrasound (US) images were obtained using a 5-12-MHz linear array transducer before NAC, after two cycles, and at the completion of NAC. Long and short diameter, cortical thickness, vascularity, and hilum status of the metastatic node were retrospectively reviewed according to breast imaging-reporting and data system (BI-RADS). The included population was randomly divided into a training set and a validation set at a 2:1 ratio using a simple random sampling method. Factors associated with node response were identified through univariate and multivariate analyses. A nomogram combining clinical and changes in ultrasonographic (US) features was developed and validated. The receiver operating characteristic (ROC) and calibration plots were applied to evaluate nomogram performance and discrimination.
    Results: A total of 296 breast cancer patients were included, 108 (36.5%) of whom achieved axillary pathologic complete response (pCR) and 188 (63.5%) had residual nodal disease. Multivariate regression indicated that independent predictors of node pCR contain ultrasound features in addition to clinical features, clinical features including neoadjuvant HER2-targeted therapy and clinical response, ultrasound features after NAC including cortical thickness, hilum status, and reduction in short diameter ≥50%. The nomogram combining clinical features and US features showed better diagnostic performance compared to clinical-only model in the training cohort (AUC: 0.799 vs. 0.699, P=0.001) and the validation cohort (AUC: 0.764 vs. 0.638, P=0.027).
    Conclusions: Ultrasound changes during NAC could improve the accuracy to predict node response after NAC in clinically node-positive breast cancer patients.
    Language English
    Publishing date 2022-07-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.845823
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Charge reversal yolk-shell liposome co-loaded JQ1 and doxorubicin with high drug loading and optimal ratio for synergistically enhanced tumor chemo-immunotherapy via blockade PD-L1 pathway.

    Liu, Dechun / Li, Kunwei / Gong, Linlin / Fu, Luyao / Yang, Dan

    International journal of pharmaceutics

    2023  Volume 635, Page(s) 122728

    Abstract: Antitumor immunotherapy has become a powerful therapeutic modality to identify and kill various malignant tumors by harnessing the immune system. However, it is hampered by the immunosuppressive microenvironment and poor immunogenicity in malignant ... ...

    Abstract Antitumor immunotherapy has become a powerful therapeutic modality to identify and kill various malignant tumors by harnessing the immune system. However, it is hampered by the immunosuppressive microenvironment and poor immunogenicity in malignant tumors. Herein, in order to achieve multi-loading of drugs with different pharmacokinetic properties and targets, a charge reversal yolk-shell liposome co-loaded with JQ1 and doxorubicin (DOX) into the poly (D,L-lactic-co-glycolic acid) (PLGA) yolk and the lumen of the liposome respectively was engineered to increase hydrophobic drug loading capacity and stability under physiological conditions and further enhance tumor chemotherapy via blockade programmed death ligand 1 (PD-L1) pathway. This nanoplatform could release less JQ1 compared to traditional liposomes to avoid drug leakage under physiological conditions due to the protection of liposomes on JQ1 loaded PLGA nanoparticles while the release of JQ1 increased in an acidic environment. In the tumor microenvironment, released DOX promoted immunogenic cell death (ICD), and JQ1 blocked the PD-L1 pathway to strengthen chemo-immunotherapy. The in vivo antitumor results demonstrated the collaborative treatment of DOX and JQ1 in B16-F10 tumor-bearing mice models with minimized systemic toxicity. Furthermore, the orchestrated yolk-shell nanoparticle system could enhance the ICD effect, caspase 3 activation, and cytotoxic T lymphocyte infiltration while inhibiting PD-L1 expression, provoking a strong antitumor effect, whereas yolk-shell liposomes encapsulating only JQ1 or DOX showed modest tumor therapeutic effects. Hence, the cooperative yolk-shell liposome strategy provides a potential candidate for enhancement of hydrophobic drug loading and stability, showing potential for clinic application and synergistic cancer chemo-immunotherapy.
    MeSH term(s) Animals ; Mice ; B7-H1 Antigen ; Cell Line, Tumor ; Doxorubicin ; Immunotherapy ; Liposomes/chemistry ; Nanoparticles/chemistry ; Tumor Microenvironment
    Chemical Substances B7-H1 Antigen ; CD274 protein, human ; Doxorubicin (80168379AG) ; Liposomes ; (+)-JQ1 compound
    Language English
    Publishing date 2023-02-14
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 428962-6
    ISSN 1873-3476 ; 0378-5173
    ISSN (online) 1873-3476
    ISSN 0378-5173
    DOI 10.1016/j.ijpharm.2023.122728
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Development and validation of a deep learning signature for predicting lymphovascular invasion and survival outcomes in clinical stage IA lung adenocarcinoma: A multicenter retrospective cohort study.

    Liu, Kunfeng / Lin, Xiaofeng / Chen, Xiaojuan / Chen, Biyun / Li, Sheng / Li, Kunwei / Chen, Huai / Li, Li

    Translational oncology

    2024  Volume 42, Page(s) 101894

    Abstract: Purpose: The presence of lymphovascular invasion (LVI) influences the management and outcomes of patients with clinical stage IA lung adenocarcinoma. The objective was the development of a deep learning (DL) signature for the prediction of LVI and ... ...

    Abstract Purpose: The presence of lymphovascular invasion (LVI) influences the management and outcomes of patients with clinical stage IA lung adenocarcinoma. The objective was the development of a deep learning (DL) signature for the prediction of LVI and stratification of prognosis.
    Methods: A total of 2077 patients from three centers were retrospectively enrolled and divided into a training set (n = 1515), an internal validation set (n = 381), and an external set (n = 181). A -three-dimensional residual neural network was used to extract the DL signature and three models, namely, the clinical, DL, and combined models, were developed. Diagnostic efficiency was assessed by ROC curves and AUC values. Kaplan-Meier curves and Cox proportional hazards regression analyses were conducted to evaluate links between various factors and disease-free survival.
    Results: The DL model could effectively predict LVI, shown by AUC values of 0.72 (95 %CI: 0.68-0.76) and 0.63 (0.54-0.73) in the internal and external validation sets, respectively. The incorporation of DL signature and clinical-radiological factors increased the AUC to 0.74 (0.71-0.78) and 0.77 (0.70-0.84) in comparison with the DL and clinical models (AUC of 0.71 [0.68-0.75], 0.71 [0.61-0.81]) in the internal and external validation sets, respectively. Pathologic LVI, LVI predicted by both DL and combined models were associated with unfavorable prognosis (all p < 0.05).
    Conclusion: The effectiveness of the DL signature in the diagnosis of LVI and prognosis prediction in patients with clinical stage IA lung adenocarcinoma was demonstrated. These findings suggest the potential of the model in clinical decision-making.
    Language English
    Publishing date 2024-02-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2443840-6
    ISSN 1936-5233
    ISSN 1936-5233
    DOI 10.1016/j.tranon.2024.101894
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: An integrative pan-cancer analysis of the molecular characteristics of dietary restriction in tumour microenvironment.

    Song, Xiaoyi / Wei, Jiaxing / Li, Yang / Zhu, Wen / Cai, Zhiyuan / Li, Kunwei / Wei, Jingyue / Lu, Jieyu / Pan, Wanping / Li, Man

    EBioMedicine

    2024  Volume 102, Page(s) 105078

    Abstract: Background: Dietary restriction (DR), a general term for dieting, has been demonstrated as an effective intervention in reducing the occurrence of cancers. Molecular activities associated with DR are crucial in mediating its anti-cancer effects, yet a ... ...

    Abstract Background: Dietary restriction (DR), a general term for dieting, has been demonstrated as an effective intervention in reducing the occurrence of cancers. Molecular activities associated with DR are crucial in mediating its anti-cancer effects, yet a comprehensive exploration of the landscape of these activities at the pan-cancer level is still lacking.
    Methods: We proposed a computational approach for quantifying DR-related molecular activities and delineating the landscape of these activities across 33 cancer types and 30 normal tissues within 27,320 samples. We thoroughly examined the associations between DR-related molecular activities and various factors, including the tumour microenvironment, immunological phenotypes, genomic features, and clinical prognosis. Meanwhile, we identified two DR genes that show potential as prognostic predictors in hepatocellular carcinoma and verified them by immunohistochemical assays in 90 patients.
    Findings: We found that DR-related molecular activities showed a close association with tumour immunity and hold potential for predicting immunotherapy responses in various cancers. Importantly, a higher level of DR-related molecular activities is associated with improved overall survival and cancer-specific survival. FZD1 and G6PD are two DR genes that serve as biomarkers for predicting the prognosis of patients with hepatocellular carcinoma.
    Interpretation: This study presents a robust link between DR-related molecular activities and tumour immunity across multiple cancer types. Our research could open the path for further investigation of DR-related molecular processes in cancer treatment.
    Funding: National Natural Science Foundation of China (Grant No. 82000628) and the Guangdong-Hong Kong-Macao University Joint Laboratory of Interventional Medicine Foundation of Guangdong Province (Grant No. 2023LSYS001).
    MeSH term(s) Humans ; Carcinoma, Hepatocellular/genetics ; Transcriptome ; Gene Expression Profiling ; Tumor Microenvironment/genetics ; Prognosis ; Liver Neoplasms/genetics
    Language English
    Publishing date 2024-03-19
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2024.105078
    Database MEDical Literature Analysis and Retrieval System OnLINE

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