Vessels that encapsulate tumour clusters vascular pattern in hepatocellular carcinoma

Liu, Ken; Dennis, Claude; Prince, David; Marsh‐Wakefield, Felix; Santhakumar, Cositha; Gamble, Jennifer R.; Strasser, Stephan; McCaughan, Geoffrey W.

doi:10.1016/j.jhepr.2023.100792

Cited by 14 publications

(1 citation statement)

References 70 publications

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“…Angiogenesis is also a key feature of HCC, wherein hypervascularisation and leaky vessels pose challenges to the cellular immune control of tumours and influences responses to various therapies 10–12 . Amongst many angiogenic factors, vascular endothelial growth factor A (VEGFA) has been identified as the key driver of neovascularisation in HCC, with tumour cells largely implicated in its production 13,14 .…”

Section: Introductionmentioning

confidence: 99%

Spatial mapping of the hepatocellular carcinoma landscape identifies unique intratumoural perivascular-immune neighbourhoods

Marsh-Wakefield,

Santhakumar,

Ferguson

et al. 2023

Preprint

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Background & Aims: Hepatocellular carcinoma (HCC) develops in the context of chronic inflammation, however, the opposing roles the immune system plays in both the development and control of tumours is not fully understood. Mapping immune cell interactions across the distinct tissue regions could provide greater insight into the role individual immune populations have within tumours. Approach & Results: Using highly multiplexed imaging mass cytometry, we have mapped the immune landscape of tumour, invasive margin, and adjacent non-tumour regions across sixteen resected tumours comprising of 144 regions of interest and over 10,000 parameters. We show immune cell densities remain largely consistent across these three regions, except for subsets of monocyte-derived macrophages which are enriched within the tumours. Mapping cellular interactions across these regions in an unbiased manner identifies immune neighbourhoods comprised of tissue-resident T cells, dendritic cells, and various macrophage populations around perivascular spaces. Importantly, we identify multiple immune cells within these neighbourhoods interacting with VEGF+ perivascular macrophages. Conclusions: Cellular interactions, but not cell densities, differ between intratumoural and adjacent non-tumour regions in HCC. Unique intratumoural immune neighbourhoods around the perivascular space points to an altered landscape within tumours. Enrichment of VEGF+ perivascular macrophages within these tumours could play a key role in angiogenesis and vascular permeability.

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Section: Introductionmentioning

confidence: 99%

Spatial mapping of the hepatocellular carcinoma landscape identifies unique intratumoural perivascular-immune neighbourhoods

Marsh-Wakefield,

Santhakumar,

Ferguson

et al. 2023

Preprint

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MRI Tomoelastography to Assess the Combined Status of Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma

Zhong,

Long,

Pei

et al. 2024

Magnetic Resonance Imaging

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BackgroundIntegrating vessels encapsulating tumor clusters (VETC) and microvascular invasion (MVI) (VM hereafter) is potentially useful in risk stratification of hepatocellular carcinoma (HCC). However, noninvasive assessment methods for VM are lacking.PurposeTo investigate the diagnostic performance of tomoelastography in assessing the VM status in HCC.Study TypeRetrospective.PopulationOne hundred sixty‐eight patients with surgically confirmed HCC consisting of 115 training and 53 validation cohorts, divided into negative‐VM and positive‐VM groups with mild or severe‐VMs. Of them, 127 patients completed the follow‐up (median: 26.1 months).Field Strength/Sequence3D multifrequency tomoelastography with a single‐shot spin‐echo echo‐planar imaging sequence, and liver MRI including T1‐weighted in‐phase and opposed‐phase gradient echo (GRE), T2‐weighted turbo spin echo, diffusion‐weighted imaging and dynamic contrast‐enhanced T1‐weighted GRE sequences at 3.0 T.AssessmentShear wave speed (c) and phase angle of the shear modulus (φ) were calculated on tomoelastograms. Imaging features were visually analyzed and clinical features were collected. Conventional models used clinical and imaging features while nomograms combined tomoelastography, clinical and imaging features.Statistical TestsUnivariable and multivariable logistic regression analyses, nomogram, area under the receiver operating characteristic curve (AUC), DeLong test, Kaplan–Meier analysis and log‐rank test. P < 0.05 was considered statistically significant.ResultsTumor‐to‐liver parenchyma ratio of c (cr) and tumor c were independent risk factors for positive‐VM and severe‐VM, respectively. In validation cohort, the nomograms including cr and tumor c performed significantly better than the conventional models for diagnosing positive‐VM (0.84 [95% CI: 0.72–0.93] vs. 0.77 [95% CI: 0.64–0.88]) and severe‐VM (0.86 [95% CI: 0.68–0.96] vs. 0.75 [95% CI: 0.55–0.89]). Patients with estimated positive‐VM (9.3 months)/severe‐VM (9.2 months) based on nomograms had shorter median recurrence‐free survival than those with estimated negative‐VM (>20.0 months)/mild‐VM (18.0 months) in validation cohort.Data ConclusionTomoelastography based‐nomograms showed good performance for noninvasively assessing VM status in patients with HCC.Evidence Level3Technical EfficacyStage 2

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Optimizing predictions: improved performance of preoperative gadobenate-enhanced MRI hepatobiliary phase features in predicting vessels encapsulating tumor clusters in hepatocellular carcinoma—a multicenter study

Chen,

Dong,

et al. 2024

Abdom Radiol

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Vessels that encapsulate tumour clusters vascular pattern in hepatocellular carcinoma

Cited by 14 publications

References 70 publications

Spatial mapping of the hepatocellular carcinoma landscape identifies unique intratumoural perivascular-immune neighbourhoods

Spatial mapping of the hepatocellular carcinoma landscape identifies unique intratumoural perivascular-immune neighbourhoods

MRI Tomoelastography to Assess the Combined Status of Vessels Encapsulating Tumor Clusters and Microvascular Invasion in Hepatocellular Carcinoma

Optimizing predictions: improved performance of preoperative gadobenate-enhanced MRI hepatobiliary phase features in predicting vessels encapsulating tumor clusters in hepatocellular carcinoma—a multicenter study

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