Multiparametric MRI-Based Habitat Imaging to Reveal Zonal Heterogeneity of Prostate Cancer and Predict its Aggressiveness Degree: A Multi-Centre Study DOI
Lei Yuan, Jingliang Zhang,

Li‐Na Ma

et al.

Published: Jan. 1, 2024

Background: The pathology and prognosis of prostate cancer (PCa) in the peripheral zone (PZ) are worse than transition (TZ), but intra-tumor heterogeneity (ITH) differences between them is unknown.Methods: Preoperative MRI scans were retrospectively acquired PCa patients who underwent radical prostatectomy (RP) from January 2018 to February 2024. PCas classified TZ PZ using RP results as gold standard. Intergrating multimodal imaging data, lesions clustered into different habitat subregions. assessed. model called pre-radical aggressiveness evaluation (PRPAE) evaluate by logistic regression analysis.Findings: study included 236 with a median age 68 years. primary internal validation cohorts consisted 103 25 center A, while an external cohort 108 other two centres. Habitat 1, characterized high cell density complex tissue structure blood flow, was more prevalent PCas, which also exhibited clinicopathological features. And 1 (OR, 2.59; 95%CI: 1.52-4.41; P<0.001) emerged independent risk factor. PRPAE demonstrated performance assessing across all cohorts, AUCs 0.841, 0.769 0.804.Interpretation: Zonal further verified at level. containing HI information had gain efficiency predict aggressiveness.Funding: National Natural Science Foundation China (No. 82220108004); Basic Research Program Shaanxi Province, (2021JZ-25).Declaration Interest: We confirm that there no conflicts interest associated this submission. All authors have financial or personal relationships people organizations could inappropriately influence research presented manuscript.Ethical Approval: This retrospective multi-center approved institutional review committee each participating center. data anonymized, need for patients' written informed consent waived.

Language: Английский

Harnessing nanoparticles for reshaping tumor immune microenvironment of hepatocellular carcinoma DOI Creative Commons
Jinsong Li,

GuanBo Zhang,

Gang Li

et al.

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 5, 2025

Hepatocellular carcinoma (HCC) is one of the most prevalent cancers, characterized by high morbidity and mortality rates. Recently, immunotherapy has emerged as a crucial treatment modality for HCC, following surgery, locoregional therapies, targeted therapies. This approach harnesses body's immune system to target eliminate cancer cells, potentially resulting in durable antitumor responses. However, acquired resistance tumor immunosuppressive microenvironment (TIME) significantly hinder its clinical application. advancements nanotechnology, coupled with deeper understanding biology nano-biological interactions, have led development various nanoparticles aimed at enhancing therapeutic efficacy through specific targeting tissues. These increase accumulation immunotherapeutic drugs within microenvironment, thereby transforming TIME. In this review, we provide concise overview fundamental principles governing TIME landscape HCC discuss rationale applications context. Additionally, highlight existing challenges potential opportunities translation nanomedicines.

Language: Английский

Citations

1
Multiparametric MRI-Based Habitat Imaging to Reveal Zonal Heterogeneity of Prostate Cancer and Predict its Aggressiveness Degree: A Multi-Centre Study DOI
Lei Yuan, Jingliang Zhang,

Li‐Na Ma

et al.

Published: Jan. 1, 2024

Background: The pathology and prognosis of prostate cancer (PCa) in the peripheral zone (PZ) are worse than transition (TZ), but intra-tumor heterogeneity (ITH) differences between them is unknown.Methods: Preoperative MRI scans were retrospectively acquired PCa patients who underwent radical prostatectomy (RP) from January 2018 to February 2024. PCas classified TZ PZ using RP results as gold standard. Intergrating multimodal imaging data, lesions clustered into different habitat subregions. assessed. model called pre-radical aggressiveness evaluation (PRPAE) evaluate by logistic regression analysis.Findings: study included 236 with a median age 68 years. primary internal validation cohorts consisted 103 25 center A, while an external cohort 108 other two centres. Habitat 1, characterized high cell density complex tissue structure blood flow, was more prevalent PCas, which also exhibited clinicopathological features. And 1 (OR, 2.59; 95%CI: 1.52-4.41; P<0.001) emerged independent risk factor. PRPAE demonstrated performance assessing across all cohorts, AUCs 0.841, 0.769 0.804.Interpretation: Zonal further verified at level. containing HI information had gain efficiency predict aggressiveness.Funding: National Natural Science Foundation China (No. 82220108004); Basic Research Program Shaanxi Province, (2021JZ-25).Declaration Interest: We confirm that there no conflicts interest associated this submission. All authors have financial or personal relationships people organizations could inappropriately influence research presented manuscript.Ethical Approval: This retrospective multi-center approved institutional review committee each participating center. data anonymized, need for patients' written informed consent waived.

Language: Английский

Citations

0