Histopathological growth patterns of resected non-colorectal,non-neuroendocrine liver metastases: a retrospective multicenter study

Background

Distinct Histopathological Growth Patterns can be identified in liver metastases from melanoma, breast and colorectal cancers. For each of these distinct liver metastasis types the HGP has proven a biomarker for survival after partial hepatectomy, with the desmoplastic type marking favourable prognosis. Whether HGPs can be considered a pan-cancer phenomenon remains unknown. This study therefore evaluates the presence of HGPs and their prognostic value across non-colorectal non-neuroendocrine liver metastases.

Methods

A retrospective multicentre cohort study was performed in patients who underwent curative intent resection of non-colorectal non-neuroendocrine liver metastasis. HGPs were assessed on Haematoxylin and Eosin slides according to consensus guidelines and classified as desmoplastic or non-desmoplastic. Overall- and recurrence-free survival were evaluated using Kaplan–Meier and multivariable Cox regression analysis.

Results

In total, 132 patients with liver metastasis from 25 different tumour types were eligible for analysis, of which 26 (20%) had a desmoplastic HGP. Five-year OS and RFS (95%CI) were 53% (36–78%) versus 40% (30–53%), and 33% (19–61%) versus 15% (9–27%) for patients with desmoplastic compared to non-desmoplastic metastases, respectively (p?=?0.031 & p?=?0.004). On multivariable analysis (adjusted HR [95%CI]) a desmoplastic HGP was prognostic for both OS (0.46 [0.25–0.86]) and RFS (0.38 [0.21–0.69]).

Conclusions

This study demonstrates that HGPs apply to liver metastases across a wide variety of primary tumour origins. They hold a prognostic value in these cases, suggesting that HGPs could represent a pan-cancer biomarker for survival after surgical resection of liver metastases.

     

Multiple object tracking in molecular bioimaging by Rao-Blackwellized marginal particle filtering

Time-lapse fluorescence microscopy imaging has rapidly evolved in the past decade and has opened new avenues for studying intracellular processes in vivo. Such studies generate vast amounts of noisy image data that cannot be analyzed efficiently and reliably by means of manual processing. Many popular tracking techniques exist but often fail to yield satisfactory results in the case of high object densities, high noise levels, and complex motion patterns. Probabilistic tracking algorithms, based on Bayesian estimation, have recently been shown to offer several improvements over classical approaches, by better integration of spatial and temporal information, and the possibility to more effectively incorporate prior knowledge about object dynamics and image formation. In this paper, we extend our previous work in this area and propose an improved, fully automated particle filtering algorithm for the tracking of many subresolution objects in fluorescence microscopy image sequences. It involves a new track management procedure and allows the use of multiple dynamics models. The accuracy and reliability of the algorithm are further improved by applying marginalization concepts. Experiments on synthetic as well as real image data from three different biological applications clearly demonstrate the superiority of the algorithm compared to previous particle filtering solutions.     

Quality and performance of validated prognostic models for survival after resection of intrahepatic cholangiocarcinoma: a systematic review and meta-analysis

BackgroundThe objective of this systematic review was to evaluate the performance of prognostic survival models for intrahepatic cholangiocarcinoma (iCCA) when validated in an external dataset. Furthermore, it sought to identify common prognostic factors across models, and assess methodological quality of the studies in which the models were developed.MethodsThe PRISMA guidelines were followed. External validation studies of prognostic models for patients with iCCA were searched in 5 databases. Model performance was assessed by discrimination and calibration.ResultsThirteen external validation studies were identified, validating 18 different prognostic models. The Wang model was the sole model with good performance (C-index above 0.70) for overall survival. This model incorporated tumor size and number, lymph node metastasis, direct invasion into surrounding tissue, vascular invasion, Carbohydrate antigen (CA) 19-9, and carcinoembryonic antigen (CEA). Methodological quality was poor in 11/12 statistical models. The Wang model had the highest score with 13 out of 17 points.ConclusionThe Wang model for prognosis after resection of iCCA has good quality and good performance at external validation, while most prognostic models for iCCA have been developed with poor methodological quality and show poor performance at external validation.     

Prognostic value of intra‐tumoral CD8+/FoxP3+ lymphocyte ratio in patients with resected colorectal cancer liver metastasis

Background and Objectives

Patients with isolated colorectal‐cancer‐liver‐metastases (CRCLM) frequently undergo metastatectomy. Tumor‐infiltrating‐lymphocytes (TILs) have prognostic potential in the setting of primary colorectal cancer, however, their role in CRCLM is less studied. We aimed to study the spatial distribution and prognostic role of tumor‐infiltrating CD8⁺ cytotoxic T‐cells and FoxP3⁺ regulatory T‐cells at the metastatic site of CRCLM patients.

Methods

TILs were isolated from fresh metastatic tissues of 47 patients with CRCLM. Archived paraffin‐embedded tissue, from the same patients, was retrieved. CD8⁺ and FoxP3⁺ cells, both in the intra‐tumoral and the peri‐tumoral compartments, were measured by immunohistochemistry on full tissue sections. Proportions of cytotoxic T‐cells (CD8⁺) and regulatory T‐cells (CD4⁺CD25⁺FoxP3⁺), within CD45⁺TILs, were measured by flow‐cytometry.

Results

By immunohistochemistry, individual densities of intra‐tumoral or peri‐tumoral CD8⁺ and FoxP3⁺ cells were not prognostic of survival. However, the intra‐tumoral, but not the peri‐tumoral, CD8⁺/FoxP3⁺ ratio was an independent predictor of survival (HR 0.43, 95%CI 0.19‐0.95, P = 0.032). By flow cytometry, the intra‐tumoral CD8⁺/regulatory T‐cell ratio was also an independent predictor of survival (HR 0.45, 95%CI 0.20‐0.99, P = 0.044).

Conclusions

The ratio of cytotoxic (CD8⁺) to regulatory (FoxP3⁺) T‐cells, in the intra‐tumoral compartment, but not in the peri‐tumoral compartment, can predict survival after resection of CRCLM.