Colorectal liver metastases: Current management and future perspectives

Multiparameter magnetic resonance imaging-based radiomics model for the prediction of rectal cancer metachronous liver metastasis

BACKGROUND

The liver, as the main target organ for hematogenous metastasis of colorectal cancer, early and accurate prediction of liver metastasis is crucial for the diagnosis and treatment of patients. Herein, this study aims to investigate the application value of a combined machine learning (ML) based model based on the multiparameter magnetic resonance imaging for prediction of rectal metachronous liver metastasis (MLM).

AIM

To investigate the efficacy of radiomics based on multiparametric magnetic resonance imaging images of preoperative first diagnosed rectal cancer in predicting MLM from rectal cancer.

METHODS

We retrospectively analyzed 301 patients with rectal cancer confirmed by surgical pathology at Jingzhou Central Hospital from January 2017 to December 2023. All participants were randomly assigned to the training or validation queue in a 7:3 ratio. We first apply generalized linear regression model (GLRM) and random forest model (RFM) algorithm to construct an MLM prediction model in the training queue, and evaluate the discriminative power of the MLM prediction model using area under curve (AUC) and decision curve analysis (DCA). Then, the robustness and generalizability of the MLM prediction model were evaluated based on the internal validation set between the validation queue groups.

RESULTS

Among the 301 patients included in the study, 16.28% were ultimately diagnosed with MLM through pathological examination. Multivariate analysis showed that carcinoembryonic antigen, and magnetic resonance imaging radiomics were independent predictors of MLM. Then, the GLRM prediction model was developed with a comprehensive nomogram to achieve satisfactory differentiation. The prediction performance of GLRM in the training and validation queue was 0.765 [95% confidence interval (CI): 0.710-0.820] and 0.767 (95%CI: 0.712-0.822), respectively. Compared with GLRM, RFM achieved superior performance with AUC of 0.919 (95%CI: 0.868-0.970) and 0.901 (95%CI: 0.850-0.952) in the training and validation queue, respectively. The DCA indicated that the predictive ability and net profit of clinical RFM were improved.

CONCLUSION

By combining multiparameter magnetic resonance imaging with the effectiveness and robustness of ML-based predictive models, the proposed clinical RFM can serve as an insight tool for preoperative assessment of MLM risk stratification and provide important information for individual diagnosis and treatment of rectal cancer patients.

Orosomucoid 2 upregulation mediates liver injury-induced colorectal cancer liver metastasis by promoting EMT and cell migration

The relationship between drug-induced liver injury and liver metastasis of colorectal cancer and the underlying mechanisms are not well understood. In this study, we used carbon tetrachloride to construct a classic mouse liver injury model and injected CT26 colorectal cancer cells into the mouse spleen to simulate the natural route of colorectal cancer liver metastasis. Liver injury significantly increased the number of colorectal cancer liver metastases. Transcriptome sequencing and data-independent acquisition protein quantification identified proteins that were significantly differentially expressed in injured livers, and orosomucoid (ORM) 2 was identified as a target protein for tumor liver metastasis. In vitro experiments showed that exogenous ORM2 protein increased the expression of EMT markers such as Twist, Zeb1, Vim, Snail1 and Snail2 and chemokine ligands to promote CT26 cell migration. In addition, liver-specific overexpression of the ORM2 protein in the mouse model significantly promoted tumor cell liver metastasis without inducing liver injury. Our results indicate that drug-induced liver injury can promote colorectal cancer liver metastasis and that ORM2 can promote cell migration by inducing EMT in tumor cells.

KRAS inhibitors may prevent colorectal cancer metachronous metastasis by suppressing TGF‑β mediated epithelial‑mesenchymal transition

In colorectal cancer (CRC), KRAS mutations enhance metachronous metastasis, a condition without prognostic biomarkers or preventive measures. The present study demonstrated that KRAS mutation may be a risk factor for CRC metachronous metastasis through meta‑analysis of public databases. A risk scoring model was constructed using machine learning for predicting metachronous metastasis in KRAS‑mutant CRC. Wound healing and Transwell assay indicated that KRAS inhibitors strongly suppress migration and invasion capabilities of high‑risk CRC cells and these findings were validated through ex vivo organoid and a mouse model of splenic‑liver metastasis. Mechanistically, RNA sequencing, reverse transcription‑quantitative PCR and western blot analyses revealed that KRAS inhibitors suppressed epithelial‑mesenchymal transition (EMT) and transforming growth factor β (TGF‑β) signaling. Notably, addition of TGF‑β1 protein partially reversed the inhibitory effects of KRAS inhibitors on CRC. These results suggested that KRAS inhibitors may prevent CRC metachronous metastasis by downregulating TGF‑β‑mediated EMT, suggesting they can be used prophylactically in high‑risk KRAS‑mutant CRC.

snRNA-seq of long-preserved FFPE samples from colorectal liver metastasis lesions with diverse prognoses

Differences in prognostic outcomes are prevalent in patients with colorectal cancer liver metastases. Comparative analysis of tissue samples, particularly applying single-cell transcriptome sequencing technology, can provide a deeper understanding of potential impacting factors. However, long-term monitoring for prognosis determination necessitates extended preservation of tissue samples using formalin-fixed and paraffin-embedded (FFPE) treatments, which can cause substantial RNA degradation, presenting challenges to single-cell or single-nucleus sequencing. In this study, employing snRandom-seq, a single-nucleus RNA sequencing (snRNA-seq) technology specifically for FFPE samples, we tested multiple lesion samples from 18 distinctive colorectal cancer liver metastasis cases with diverse prognostic outcomes that have been preserved for at least three years (mostly over five years). The process yielded expression data from 82,285 cells. The high-quality snRNA-seq data demonstrate the feasibility of single-nucleus sequencing in long-term preserved FFPE samples, offering potential insights into the heterogeneity between different prognoses of colorectal cancer liver metastases, and the relationship between the heterogeneity within different lesions of the same patient and prognosis.

Assessing the performance of AI-assisted technicians in liver segmentation, Couinaud division, and lesion detection: a pilot study

BACKGROUND

In patients with primary and secondary liver cancer, the number and sizes of lesions, their locations within the Couinaud segments, and the volume and health status of the future liver remnant are key for informing treatment planning. Currently this is performed manually, generally by trained radiologists, who are seeing an inexorable growth in their workload. Integrating artificial intelligence (AI) and non-radiologist personnel into the workflow potentially addresses the increasing workload without sacrificing accuracy. This study evaluated the accuracy of non-radiologist technicians in liver cancer imaging compared with radiologists, both assisted by AI.

METHODS

Non-contrast T1-weighted MRI data from 18 colorectal liver metastasis patients were analyzed using an AI-enabled decision support tool that enables non-radiology trained technicians to perform key liver measurements. Three non-radiologist, experienced operators and three radiologists performed whole liver segmentation, Couinaud segment segmentation, and the detection and measurements of lesions aided by AI-generated delineations. Agreement between radiologists and non-radiologists was assessed using the intraclass correlation coefficient (ICC). Two additional radiologists adjudicated any lesion detection discrepancies.

RESULTS

Whole liver volume showed high levels of agreement between the non-radiologist and radiologist groups (ICC = 0.99). The Couinaud segment volumetry ICC range was 0.77-0.96. Both groups identified the same 41 lesions. As well, the non-radiologist group identified seven more structures which were also confirmed as lesions by the adjudicators. Lesion diameter categorization agreement was 90%, Couinaud localization 91.9%. Within-group variability was comparable for lesion measurements.

CONCLUSION

With AI assistance, non-radiologist experienced operators showed good agreement with radiologists for quantifying whole liver volume, Couinaud segment volume, and the detection and measurement of lesions in patients with known liver cancer. This AI-assisted non-radiologist approach has potential to reduce the stress on radiologists without compromising accuracy.

DNA methylation biomarker panels for differentiating various liver adenocarcinomas, including hepatocellular carcinoma, cholangiocarcinoma, colorectal liver metastases and pancreatic adenocarcinoma liver metastases

BACKGROUND

DNA methylation biomarkers are one of the most promising tools for the diagnosis and differentiation of adenocarcinomas of the liver, which are among the most common malignancies worldwide. Their differentiation is important because of the different prognoses and treatment options. This study aimed to validate previously identified DNA methylation biomarkers that successfully differentiate between liver adenocarcinomas, including the two most common primary liver cancers, hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), as well as two common metastatic liver cancers, colorectal liver metastases (CRLM) and pancreatic ductal adenocarcinoma liver metastases (PCLM), and translate them to the methylation-sensitive high-resolution melting (MS-HRM) and digital PCR (dPCR) platforms.

METHODS

Our study included a cohort of 149 formalin-fixed, paraffin-embedded tissue samples, including 19 CRLMs, 10 PCLMs, 15 HCCs, 15 CCAs, 15 colorectal adenocarcinomas (CRCs), 15 pancreatic ductal adenocarcinomas (PDACs) and their paired normal tissue samples. The methylation status of the samples was experimentally determined by MS-HRM and methylation-specific dPCR. Previously determined methylation threshold were adjusted according to dPCR data and applied to the same DNA methylation array datasets (provided by The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO)) used to originally identify the biomarkers for the included cancer types and additional CRLM projects. The sensitivities, specificities and diagnostic accuracies of the panels for individual cancer types were calculated.

RESULTS

In the dPCR experiment, the DNA methylation panels identified HCC, CCA, CRC, PDAC, CRLM and PCLM with sensitivities of 100%, 66.7%, 100%, 86.7%, 94.7% and 80%, respectively. The panels differentiate between HCC, CCA, CRLM, PCLM and healthy liver tissue with specificities of 100%, 100%, 97.1% and 94.9% and with diagnostic accuracies of 100%, 94%, 97% and 93%, respectively. Reevaluation of the same bioinformatic data with new additional CRLM projects demonstrated that the lower dPCR methylation threshold still effectively differentiates between the included cancer types. The bioinformatic data achieved sensitivities for HCC, CCA, CRC, PDAC, CRLM and PCLM of 88%, 64%, 97.4%, 75.5%, 80% and 84.6%, respectively. Specificities between HCC, CCA, CRLM, PCLM and healthy liver tissue were 98%, 93%, 86.6% and 98.2% and the diagnostic accuracies were 94%, 91%, 86% and 98%, respectively. Moreover, we confirmed that the methylation of the investigated promoters is preserved from primary CRC and PDAC to their liver metastases.

CONCLUSIONS

The cancer-specific methylation biomarker panels exhibit high sensitivities, specificities and diagnostic accuracies and enable differentiation between primary and metastatic adenocarcinomas of the liver using methylation-specific dPCR. High concordance was achieved between MS-HRM, dPCR and bioinformatic data, demonstrating the successful translation of bioinformatically identified methylation biomarkers from the Illumina Infinium HumanMethylation450 BeadChip (HM450) and lllumina MethylationEPIC BeadChip (EPIC) platforms to the simpler MS-HRM and dPCR platforms.

Epidemiological and anatomopathological profile of colorectal cancer in Northern Morocco between 2017 and 2019

BACKGROUND AND STUDY AIMS

Colorectal cancer (CRC) is the third most common type of cancer worldwide and the second leading cause of cancer-related death. CRC represents a major public health problem in many countries, and its incidence is increasing worldwide. In Morocco, CRC is the third most common cancer. However, epidemiological data on CRC in Morocco, especially in the north, are very limited. This study aimed to describe the epidemiological and clinicopathological characteristics of CRC in northern Morocco.

PATIENTS AND METHODS

This retrospective study was conducted at the Ahmed Ben Zayed Al Nahyan Regional Oncology Center of Tangier between April 2017 and December 2019. Data were collected from the medical records of confirmed CRC patients and analyzed using SPSS computer software version 23.

RESULTS

CRC was detected in 142 patients, accounting for 13.0 % of all cancers identified during the study period in the center. The sex ratio (male/female) of all patients was 1.1. The mean age was 58 years, and the most affected group was 60-69 years old (29.0 %). The rectum was the most common anatomical site (44.0 %) compared to the left and right colon. Histologically, adenocarcinomas were the most common type (91.3 %), half of the tumors were moderately differentiated, and only 4.9 % of the patients presented with poorly differentiated tumors. At diagnosis, 83.0 % of patients were already in advanced stages (stage III, or IV), including 40.3 % presenting with metastatic disease. The liver (64.8 %) was the most affected site by metastasis in our series. Relapse was observed in 11.9 % of patients.

CONCLUSION

Our results showed a younger age at diagnosis and a higher incidence of cancer at the rectal site compared to the Western literature, as well as a high frequency of patients who presented with late-stage disease and other characteristics. However, larger multicenter studies are still needed to confirm our results.

Initial Assessment of Resectability of Colorectal Cancer Liver Metastases Versus Clinical Outcome

BACKGROUND

Surgery improves long-term survival for resectable, liver-only metastatic colorectal cancer (mCRC). With no consensus definition of "resectable" disease, decisions regarding resectability are reliant on the expertise and judgement of the treating clinician working in consultation with a multidisciplinary team (MDT). This study examines the clinical outcome versus initial assessment of resectability in an Australian population with mCRC.

PATIENTS AND METHODS

Patients with liver-only mCRC diagnosed January 2009 to December 2022 were identified from the Treatment of Recurrent and Advanced Colorectal Cancer (TRACC) registry. Patients were classified based on prospectively documented treatment assessment as "resectable," "potentially resectable," or "unresectable." The correlation between initial assessment of resectability and clinical outcome, and any impact of clinicopathologic factors were examined. Kaplan-Meier analysis assessed overall survival based on initial resectability assessment and resection status.

RESULTS

Of 4437 patients with mCRC identified through TRACC, 1250 (28%) had liver-only disease at presentation, with 497 (43%), 277 (24%), and 374 (33%) classified as "unresectable," "potentially resectable," and "resectable," respectively. In total, 516 (41%) ultimately underwent surgical resection, including 30 (6%) of the "initially unresectable," 148 (53%) of the "potentially resectable," and 338 (90%) of the "resectable" at a median of 9.5, 5.9, and 2.4 months from the diagnosis of liver metastases, respectively. Resection in the "unresectable" patient population was associated with younger age (mean age 63 vs. 69, P = .0006), better performance status (ECOG 0-1 100% vs. 74%, P = .0017), and fewer comorbidities (Charlson index 0-3 in 73% vs. 53%, P = .0296) compared with no resection. Median overall survival was longer for resected versus nonresected patients across all categories: "unresectable" (59.2 vs. 17.6 months, P < .0001), "potentially resectable" (57.2 vs. 22.8 months, P < .0001), and "resectable" (108 vs. 55 months, P < .0001).

CONCLUSIONS

This real-world study demonstrates the potential for "initially unresectable" patients to become surgical candidates following systemic therapy, more likely in younger and fitter patients, with overall excellent survival outcomes in resected patients. This highlights the value of routine, repeated MDT assessments for patients with liver-only disease who are continuing to respond to systemic therapy, even for those initially considered never to be surgical candidates.

Comparing Open, Laparoscopic and Robotic Liver Resection for Metastatic Colorectal Cancer-A Systematic Review and Network Meta-Analysis

Colorectal liver metastases (CRLM) can be surgically managed through open resections (OLR), laparoscopic resections (LLR), or robotic liver resections (RLR). However, there is ongoing uncertainty regarding the safety and effectiveness of minimally invasive approaches like LLR and RLR. This study aims to clarify these issues by conducting a network meta-analysis (NMA) to compare outcomes across OLR, LLR and RLR for patients with CRLM. Following the PRISMA-NMA guidelines, the meta-analysis included 13 studies with a combined total of 6582 patients. Of these, 50.6% underwent LLR, 45.3% underwent OLR, and 4.1% underwent RLR. The analysis found no significant differences in R0 resection rates between LLR (odds ratio [OR] 1.03, 95% confidence interval [CI]: 0.84-1.26) and RLR (OR 1.57, 95% CI: 0.98-2.51) when compared to OLR. Additionally, there were no significant differences in disease-free survival (DFS) and overall survival (OS) at 1, 3, and 5 years. Despite these findings, both LLR and RLR were associated with reduced postoperative complication rates (RLR: OR 0.52, 95% CI: 0.32-0.86; LLR: OR 0.50, 95% CI: 0.37-0.68). However, patients undergoing LLR were more likely to require conversion to open surgery compared to those undergoing RLR (OR: 12.46, 95% CI: 2.64-58.67). Furthermore, RLR was associated with a reduced need for blood transfusions (OR: 0.13, 95% CI: 0.05-0.32), and LLR resulted in shorter hospital stays (mean difference: -6.66 days, 95% CI: -11.6 to -1.88 days). This study demonstrates the oncological safety of LLR and RLR approaches for CRLM relative to OLR, with enhanced perioperative outcomes anticipated following minimally invasive resections of CRLM.

A review on the functional characteristics of the c-Myeloproliferative Leukaemia (c-MPL) gene and its isoforms

The c-MPL-TPO axis regulates hematopoiesis by activating various signalling cascades, including JAK/STAT, MAPK/ERK, and PIK3/AKT. Here, we have summarized how TPO is regulated by c-MPL and, how mutations in the c-MPL regulate hematopoiesis. We also focus on its non-hematological regulatory role in diseases like Unstable Angina and pathways like DNA damage repair, skeletal homeostasis, & apoptotic regulation of neurons/HSCs at the embryonic state. We discuss the therapeutic efficiency of c-MPL and, its potential to be developed as a bio-marker for detecting metastasis and development of chemo-resistance in various cancers, justifying the multifaceted nature of c-MPL. We have also highlighted the importance of c-MPL isoforms and their stoichiometry in controlling the HSC quiescent and proliferative state. The regulation of the ratio of different isoforms through gene-therapy can open future therapeutic avenues. A systematic understanding of c-MPL-isoforms would undoubtedly take one step closer to facilitating c-MPL from basic-research towards translational medicine.

Preoperative imaging of colorectal liver metastases: what the radiologist and the multidisciplinary team need to know

The management of patients with colorectal liver metastases (CRLM) has transformed over the past 2 decades. Advances in surgical techniques, systemic therapies, and local treatments have resulted in a paradigm shift. Disease that would once have been considered terminal is now frequently treated aggressively with both a disease-free and overall survival benefit. In line with the expanding range of treatment options, there has been an increase in the volume and complexity of imaging required in the management of these patients to ensure optimal patient selection and outcome. The radiologist plays a pivotal role in interpreting these studies, conveying the relevant information and informing the discussion at multidisciplinary team meetings. The purpose of this review is to provide an update for radiologists on the current surgical management of patients with CRLM highlighting specific imaging information that is required by the multidisciplinary team when assessing resectability and/or the need for additional liver-directed therapies.

Impact of Positive Lymph Nodes after Systematic Perihilar Lymphadenectomy in Colorectal Liver Metastases

Background: 25 to 50% of patients suffering from colorectal cancer develop liver metastases. The incidence of regional lymph node (LN) metastases within the liver is up to 14%. The need for perihilar lymph node dissection (LND) is still a controversial topic in patients with colorectal liver metastases (CRLM). This study investigates the role of perihilar LND in patients with CRLM. Methods: For this retrospective study, patients undergoing surgery for CRLM at the University Hospital Basel between May 2009 and December 2021 were included. In patients with perihilar LND, LN were stained for CK22 and examined for single tumour cells (<0.2 mm), micro- (0.2-2 mm), and macro-metastases (>2 mm). Results: 112 patients undergoing surgery for CRLM were included. 54 patients underwent LND, 58/112 underwent liver resection only (LR). 3/54 (5.6%) showed perihilar LN metastases in preoperative imaging, and in 10/54 (18.5%), micro-metastases could be proven after CK22 staining. Overall complications were similar in both groups (LND: 46, 85.2%; LR: 48, 79.3%; p = 0.800). The rate of major complications was higher in the LND group (LND: 22, 40.7%; LR: 18, 31%, p = 0.002). Median recurrence-free survival (RFS) (LND: 10 months; LR: 15 months, p = 0.076) and overall survival (OS) were similar (LND: 49 months; LR: 60 months, p = 0.959). Conclusion: Preoperative imaging is not sensitive enough to detect perihilar LN metastases. Perihilar LND enables precise tumour staging by detecting more lymph node metastases, especially through CK22 staining. However, perihilar LND does not influence oncologic outcomes in patients with CRLM.

ZLN005, a PGC-1α Activator, Protects the Liver against Ischemia-Reperfusion Injury and the Progression of Hepatic Metastases

BACKGROUND

Exercise can promote sustainable protection against cold and warm liver ischemia-reperfusion injury (IRI) and tumor metastases. We have shown that this protection is by the induction of hepatic mitochondrial biogenesis pathway. In this study, we hypothesize that ZLN005, a PGC-1α activator, can be utilized as an alternative therapeutic strategy.

METHODS

Eight-week-old mice were pretreated with ZLN005 and subjected to liver warm IRI. To establish a liver metastatic model, MC38 cancer cells (1 × 106) were injected into the spleen, followed by splenectomy and liver IRI.

RESULTS

ZLN005-pretreated mice showed a significant decrease in IRI-induced tissue injury as measured by serum ALT/AST/LDH levels and tissue necrosis. ZLN005 pretreatment decreased ROS generation and cell apoptosis at the site of injury, with a significant decrease in serum pro-inflammatory cytokines, innate immune cells infiltration, and intrahepatic neutrophil extracellular trap (NET) formation. Moreover, mitochondrial mass was significantly upregulated in hepatocytes and maintained after IRI. This was confirmed in murine and human hepatocytes treated with ZLN005 in vitro under normoxic and hypoxic conditions. Additionally, ZLN005 preconditioning significantly attenuated tumor burden and increased the percentage of intratumoral cytotoxic T cells.

CONCLUSIONS

Our study highlights the effective protection of ZLN005 pretreatment as a therapeutic alternative in terms of acute liver injury and tumor metastases.