Multifaceted roles of lymphatic and blood endothelial cells in the tumor microenvironment of hepatocellular carcinoma: A comprehensive review.

The tumor microenvironment is a complex network of cells, extracellular matrix, and signaling molecules that plays a critical role in tumor progression and metastasis. Lymphatic and blood vessels are major routes for solid tumor metastasis and essential parts of tumor drainage conduits. However, recent studies have shown that lymphatic endothelial cells (LECs) and blood endothelial cells (BECs) also play multifaceted roles in the tumor microenvironment beyond their structural functions, particularly in hepatocellular carcinoma (HCC). This comprehensive review summarizes the diverse roles played by LECs and BECs in HCC, including their involvement in angiogenesis, immune modulation, lymphangiogenesis, and metastasis. By providing a detailed account of the complex interplay between LECs, BECs, and tumor cells, this review aims to shed light on future research directions regarding the immune regulatory function of LECs and potential therapeutic targets for HCC.

Dichotomous roles of ADAR1 in liver hepatocellular carcinoma and kidney renal cell carcinoma: Unraveling the complex tumor microenvironment and prognostic significance.

BACKGROUND: Adenosine deaminase acting on RNA 1 (ADAR1) is an RNA-editing enzyme that significantly impacts cancer progression and various biological processes. The expression of ADAR1 mRNA has been examined in multiple cancer types using The Cancer Genome Atlas (TCGA) dataset, revealing distinct patterns in kidney chromophobe (KICH), kidney renal clear cell carcinoma (KIRC), kidney renal papillary cell carcinoma (KIRP), and liver hepatocellular carcinoma (LIHC) compared to normal controls. However, the reasons for these differential expressions remain unclear. METHODS: In this study, we performed RT-PCR and western blotting (WB) to validate ADAR1 expression patterns in clinical tissue samples. Survival analysis and immune microenvironment analysis (including immune score and stromal score) were conducted using TCGA data to determine the specific cell types associated with ADAR1, as well as the key genes in those cell types. The relationship between ADAR1 and specific cell types' key genes was verified by immunohistochemistry (IHC), using clinical liver and kidney cancer samples. RESULTS: Our validation analysis revealed that ADAR1 expression was downregulated in KICH, KIRC, and KIRP, while upregulated in LIHC compared to normal tissues. Notably, a significant correlation was found between ADAR1 mRNA expression and patient prognosis, particularly in KIRC, KIRP, and LIHC. Interestingly, we observed a positive correlation between ADAR1 expression and stromal scores in KIRC, whereas a negative correlation was observed in LIHC. Cell type analysis highlighted distinct relationships between ADAR1 expression and the two stromal cell types, blood endothelial cells (BECs) and lymphatic endothelial cells (LECs), and further determined the signature gene claudin-5 (CLDN5), in KIRC and LIHC. Moreover, ADAR1 was inversely related with CLDN5 in KIRC (n = 26) and LIHC (n = 30) samples, verified via IHC. CONCLUSIONS: ADAR1 plays contrasting roles in LIHC and KIRC, associated with the enrichment of BECs and LECs within tumors. This study sheds light on the significant roles of stromal cells within the complex tumor microenvironment (TME) and provides new insights for future research in tumor immunotherapy and precision medicine.

Microsatellite instability as a marker of prognosis: a systematic review and meta-analysis of endometrioid endometrial cancer survival data.

INTRODUCTION: To investigate whether microsatellite instability (MSI) is an important prognostic biomarker for endometrioid endometrial cancer (EEC). METHODS: The PubMed, EMBASE, and the Cochrane Cooperative Library databases were searched from inception to July 2021. Overall survival, disease-free survival, progression-free survival, EEC-specific survival, recurrence-free survival, and the recurrence rate were pooled to analyze the correlation between MSI and EEC. In addition, Egger's regression analysis and Begg's test were used to detect publication bias. RESULTS: 17 studies met the inclusion criteria and were included in our meta-analysis with a sample size of 4723, and the included patients with endometrioid cancer (EC) all were EEC. The pooled hazard ratios (HR) in patients with EEC showed that MSI was significantly associated with shorter overall survival [HR = 1.37, 95% confidence interval (CI) (1.00-1.86), p = 0.048, I2 = 60.6%], shorter disease-free survival [HR = 1.99, 95% CI (1.31-3.01), p = 0.000, I2 = 67.2%], shorter EEC-specific survival [HR = 2.07, 95% CI (1.35-3.18), p = 0.001, I2 = 31.6%] and a higher recurrence rate [Odds ratios (OR) = 2.72, 95% CI (1.56-4.76), p = 0.000, I2 = 0.0%]. In the early-stage EEC subgroup, MSI was significantly associated with shorter overall survival [HR = 1.47, 95% CI (1.11-1.95), p = 0.07], shorter disease-free survival [HR = 4.17, 95% CI (2.37-7.41), p = 0.000], and shorter progression-free survival [HR = 2.41, 95% CI (1.05-5.54), p = 0.039]. No significant heterogeneity was observed in overall survival (I2 = 20.9%), disease-free survival (I2 = 0.0%), or progression-free survival (I2 = 0.0%) in patients with early-stage EEC. Meanwhile, publication bias was not observed, and the p-value for Egger's test of overall survival, disease-free survival, and EEC-specific survival were p = 0.131, p = 0.068, and p = 0.987, respectively. CONCLUSION: MSI is likely an important biomarker for poor prognosis in patients with EEC, and this correlation is even more certain in patients with early-stage EEC.

Merged hepatopulmonary features in hepatoid adenocarcinoma of the lung: a systematic review.

This study aimed to provide diagnostic clues for patients with elevated serum alpha-fetoprotein (AFP) in the absence of liver tumors and rectify some previously confused concepts about hepatoid carcinoma of the lung through a systematic review on hepatoid adenocarcinoma of the lung (HAL). A thorough search for original articles on HAL published prior to November 2020 was performed using the PubMed, EBSCOhost, Embase, WanFang Data, and China National Knowledge Infrastructure (CNKI) databases. Ninety-four patients from 88 studies met the eligibility criteria. HAL was rare and mainly occurred among male Asian smokers in their 60 s, presenting with cough, hemoptysis, chest pain, dyspnea and/or weight loss, as well as elevated serum AFP with a mass usually in the right upper lung lobe but no liver masses. Hepatoid differentiation regions, acinar or papillary structures in tumor tissues, and positive immunohistochemical expression of AFP, HepPar-1, and CK8/18 were crucial indicators for the diagnosis of HAL. Surgery-based strategies were recommended for stage I-III patients, while stage IV patients were mainly treated with chemotherapy-based strategy. The 1-, 3-, and 5-year overall survival rates were 40%, 35%, and 19%, respectively. The 1-year relapse-free survival rate was 58%. The postoperative monitoring of AFP contributed to the early detection of tumor recurrence, with a positive rate of 71.43%. In conclusion, patients with elevated serum AFP levels without any detectable hepatic lesions should be evaluated for the possibility of HAL.

Machine learning approach to predict acute kidney injury after liver surgery.

BACKGROUND: Acute kidney injury (AKI) after surgery appears to increase the risk of death in patients with liver cancer. In recent years, machine learning algorithms have been shown to offer higher discriminative efficiency than classical statistical analysis. AIM: To develop prediction models for AKI after liver cancer resection using machine learning techniques. METHODS: We screened a total of 2450 patients who had undergone primary hepatocellular carcinoma resection at Changzheng Hospital, Shanghai City, China, from January 1, 2015 to August 31, 2020. The AKI definition used was consistent with the Kidney Disease: Improving Global Outcomes. We included in our analysis preoperative data such as demographic characteristics, laboratory findings, comorbidities, and medication, as well as perioperative data such as duration of surgery. Computerized algorithms used for model development included logistic regression (LR), support vector machine (SVM), random forest (RF), extreme gradient boosting (XGboost), and decision tree (DT). Feature importance was also ranked according to its contribution to model development. RESULTS: AKI events occurred in 296 patients (12.1%) within 7 d after surgery. Among the original models based on machine learning techniques, the RF algorithm had optimal discrimination with an area under the curve value of 0.92, compared to 0.87 for XGBoost, 0.90 for DT, 0.90 for SVM, and 0.85 for LR. The RF algorithm also had the highest concordance-index (0.86) and the lowest Brier score (0.076). The variable that contributed the most in the RF algorithm was age, followed by cholesterol, and surgery time. CONCLUSION: Machine learning algorithms are highly effective in discriminating patients at high risk of developing AKI. The successful application of machine learning models may help guide clinical decisions and help improve the long-term prognosis of patients.

Bruton's Tyrosine Kinase Inhibitor Attenuates Warm Hepatic Ischemia/Reperfusion Injury via Modulation of the NLR Family Pyrin Domain Containing 3 Inflammasome.

The NLR family pyrin domain containing 3 (NLRP3) inflammasome is a widely studied inflammasome that plays a critical role in inflammatory responses. Many triggers, including microbial pathogens (ie, bacteria and viruses) and other signals (ie, reactive oxygen species, adenosine triphosphate, urate, silicon, and asbestos), can stimulate the NLRP3 inflammasome. Liver ischemia/reperfusion (I/R) injury is a common pathologic process during liver surgery and shock and can induce severe liver damage. Although its pathogenesis is still unclear, oxidative stress and overproduction of the inflammatory response are likely to contribute to I/R injury. The NLRP3 inflammasome is activated during the I/R process, resulting in further recruitment and activation of caspase-1. Activated caspase-1 cleaves the pro-forms of interleukin-1ß and interleukin-18 and results in their maturation, triggering a proinflammatory cytokine cascade and causing liver damage. Bruton's tyrosine kinase is a critical molecule involved in diverse cellular pathways, such as proliferation, apoptosis, inflammation, and angiogenesis. Intrahepatic Bruton's tyrosine kinase is mainly expressed on Kupffer cells and sinusoidal endothelial cells, and the inflammasome is activated in Kupffer cells. Our study found that inhibition of Bruton's tyrosine kinase effectively attenuated liver I/R injury by suppressing activation of the NLRP3 inflammasome in Kupffer cells.

A new iridoid glycoside from the fruits of Vitex rotundifolia.

One new iridoid glycoside, 6',10-di-O-(4-hydroxybenzoyl) aucubin (1), together with ten known compounds, including five diterpenoids (2-6), two triterpene glucosides (7-8) and three methoxylated flavonoids (9-11) were isolated from the fruits of Vitex rotundifolia. Compounds (3, 4, 7, and 8) were reported for the first time from this plant. Their structures were elucidated by spectral analysis and by comparison with literature data. Furthermore, some of the isolated compounds were evaluated for their cytotoxicities against A549 and HepG-2 cell lines using MTT assay, and only compounds 9 and 10 exhibited potent cytotoxic activity with IC50 values of 13 ± 4 and 35 ± 10 µM against HepG-2 cell lines.