Deep Learning Radiomics Features of Mediastinal Fat and Pulmonary Nodules on Lung CT Images Distinguish Benignancy and Malignancy.

This study investigated the relationship between mediastinal fat and pulmonary nodule status, aiming to develop a deep learning-based radiomics model for diagnosing benign and malignant pulmonary nodules. We proposed a combined model using CT images of both pulmonary nodules and the fat around the chest (mediastinal fat). Patients from three centers were divided into training, validation, internal testing, and external testing sets. Quantitative radiomics and deep learning features from CT images served as predictive factors. A logistic regression model was used to combine data from both pulmonary nodules and mediastinal adipose regions, and personalized nomograms were created to evaluate the predictive performance. The model incorporating mediastinal fat outperformed the nodule-only model, with C-indexes of 0.917 (training), 0.903 (internal testing), 0.942 (external testing set 1), and 0.880 (external testing set 2). The inclusion of mediastinal fat significantly improved predictive performance (NRI = 0.243, p < 0.05). A decision curve analysis indicated that incorporating mediastinal fat features provided greater patient benefits. Mediastinal fat offered complementary information for distinguishing benign from malignant nodules, enhancing the diagnostic capability of this deep learning-based radiomics model. This model demonstrated strong diagnostic ability for benign and malignant pulmonary nodules, providing a more accurate and beneficial approach for patient care.

Lean body mass predicts postoperative liver failure in patients with hepatocellular carcinoma.

BACKGROUND: Post-hepatectomy liver failure (PHLF) is a severe complication of liver surgery in hepatocellular carcinoma (HCC) patients. Reduced lean body mass (LBM) decreases the immune activity and increases adverse clinical outcomes among cancer patients. OBJECTIVE: We aimed to assess the association between LBM and PHLF in HCC patients. METHODS: PHLF was defined and graded based on the International Study Group of Liver Surgery (ISGLS) criteria. Patients with Grade B or Grade C were included in PHLF ⩾ Grade B group, while others in PHLF < Grade B group. LBM was measured via preoperative computed tomography images. Binary logistic regression was applied for investigating the association between LBM and PHLF. The receiver operating characteristic curve was used to identify potential cut-off values and assess the predictive ability of the measured variables. RESULTS: The PHLF ⩾ Grade B group had significantly lower LBM levels (means ± standard deviation: 57.0 ± 14.1) than PHLF < Grade B group (67.2 ± 15.7) (p< 0.001). After controlling other variables, LBM was an independent protective factor for PHLF ⩾ Grade B (Odds Ratio: 0.406, 95% confidence interval: 0.172-0.957, p= 0.039). The prevalence of PHLF ⩾ Grade B in each quartile of LBM was 29.4% (15/51), 25.5% (13/51), 19.2% (10/52) and 4.0% (2/50), respectively (ptrend< 0.001). CONCLUSIONS: LBM might be a protective factor for PHLF in HCC patients. Our findings might help to develop a novel strategy to reduce the occurrence of hepatic dysfunction following major liver resection. Multicentric prospective studies and further molecular biologic investigation are needed.

Utility of mean platelet volume in differentiating intrahepatic cholangiocarcinoma from hepatocellular carcinoma.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) are the most prevalent histologic types of primary liver cancer. HCC and ICC differ in treatment and prognosis, warranting an effective differential diagnosis between them. This study aimed to explore the clinical value of mean platelet volume (MPV) to discriminate between HCC and ICC. MATERIAL/METHODS: We performed a retrospective analysis of ICC and HCC patients who were from the Harbin Medical University Cancer Hospital, China. Logistic regression analysis was used to identify the independent factors for the differentiation of HCC and ICC. A receiver operating characteristic curve was built to evaluate the diagnostic performance of the potential model. An independent validation study was performed to validate the diagnostic ability. RESULTS: ICC patients were detected in 146 out of 348 patients in the primary cohort. MPV levels were decreased in ICC patients compared with those in HCC patients. Logistic regression analysis revealed that MPV was an independent factor in distinguishing HCC from ICC. A combination of sex, hepatitis B surface antigen, MPV, alpha-fetoprotein, and carbohydrate antigen 19-9 demonstrated a good capability to differentiate HCC from ICC. Similar results were achieved in the validation cohort. CONCLUSIONS: MPV may be a new marker to help distinguish ICC from HCC. Further validation studies are required.

Preoperative PDW levels predict pulmonary metastasis in patients with hepatocellular carcinoma.

BACKGROUND: In hepatocellular carcinoma (HCC), pulmonary metastasis (PM) after hepatectomy is associated with poor clinical outcomes. The crucial phases of tumour cell proliferation, angiogenesis, and metastasis all entail platelet activation. In HCC, platelet distribution width (PDW) suggests platelet size changes and predicts a worse prognosis. The aim of this study was to assess the association between PDW and PMs in HCC patients receiving hepatectomy. MATERIAL/METHODS: From January 2013 to December 2015, a cohort of patients who underwent hepatectomy for HCC at the Harbin Medical University Cancer Hospital in China were retrospectively evaluated. The relationship between PDW levels and clinical and demographic parameters was examined. To investigate the relationships between predicted factors and PM, a competing risk model was used. From January 2016 to December 2018, a validation cohort of 109 patients from the First Affiliated Hospital of Harbin Medical University was studied independently. RESULTS: In the primary cohort, 19 out of 214 patients had postoperative PMs. In HCC patients with PM, PDW levels were lower than in those without PM. There was a significant difference in the cumulative incidence of 2-year PM between the high-PDW and low-PDW groups after controlling for competing risk events (death prior to the development of PM) (p < 0.001). In addition, PDW was also found to be an independent predictor for PM in a multivariable competing risk analysis. The results were externally validated in another cohort. CONCLUSIONS: In HCC, preoperative PDW is significantly associated with PM. PDW could be a biomarker for post-operative PM in HCC patients.

The Association between Platelet Glycocalicin and High Microsatellite Instability in Colorectal Cancer.

Background: Elevated platelet volume is the risk factor for the development and poor overall survival of colorectal cancer (CRC) patients. Both microsatellite status and platelet glycoprotein Ibα (GPIbα) are related to platelet volume in CRC patients. This study aimed to investigate platelet GPIbα ectodomain (termed glycocalicin) levels among CRC patients and the association between the glycocalicin levels and microsatellite status in CRC. Methods: The clinical and laboratory data of 430 CRC patients between January 2018 and December 2018 in Harbin Medical University Cancer Hospital were collected. The microsatellite status was determined with a polymerase chain reaction. The participants were separated into high microsatellite instability (MSI-H) and microsatellite stable (MSS) groups according to microsatellite status. The glycocalicin levels were measured with an enzyme-linked immunosorbent assay, and the cut-off point was determined with the receiver-operating characteristics curve. The clinical and pathological characteristics were collected via electronic medical records. Logistic regression was used to explore the association between glycocalicin and microsatellite status. Results: Among the 430 CRC patients enrolled, 64 patients (14.9%) were identified as MSI-H and others as MSS CRC. Glycocalicin levels were significantly reduced in patients with MSI-H than those with MSS. After controlling for potential confounders, logistic regression analysis revealed that glycocalicin levels were independently associated with MSI-H CRC. Conclusions: Reduced glycocalicin levels are associated with the MSI-H subtype of CRC. Further research is needed to elucidate the mechanisms of the association between glycocalicin and MSI-H in CRC patients.

Decreased mean platelet volume is associated with microsatellite instability in colorectal cancer: A propensity score-matched analysis.

BACKGROUND: Patients with microsatellite instability-high (MSI-H) colorectal cancer (CRC) generally have a better prognosis and a more effective immune response than patients with microsatellite stable (MSS) CRC. Moreover, activated platelets play a crucial role in modulating innate immune cells. Mean platelet volume (MPV) is an indicator of platelet activation. This study is to examine the association between MPV and MSI status in CRC. METHODS: We collected the clinical and pathological variables of 424 CRC patients diagnosed at the Harbin Medical University Cancer Hospital from January 2018 to December 2018. Associations between MPV levels and MSI status were examined. Propensity score matching (PSM) was performed to reduce the possibility of selection bias. RESULTS: 424 CRC patients were divided into low-MPV group and high-MPV group according to the optimal cut-off value of MPV. 131 high-MPV patients were matched to low-MPV counterparts in a 1:1 ratio by propensity score matching. As MPV levels increased, the percentage of patients with MSI-H reduced. Furthermore, compared with MSS group, the MSI-H group had a significantly lower MPV levels (p= 0.003 after matching). In addition, logistic regression analysis identified reduced MPV as an independent risk factor for MSI-H in CRC patients after controlling for other potential parameters. CONCLUSION: Lower MPV is associated with MSI-H subtype of CRC. Further study on MPV in MSI-H CRC is warranted.

MicroRNA-129-5p promotes proliferation and metastasis of hepatocellular carcinoma by regulating the BMP2 gene.

Hepatocellular carcinoma (HCC) is a malignant tumor that poses a serious threat to human health. Due to its occult onset and rapid development, HCC is a challenge to diagnose early and effectively treat, and thus patients with HCC often have an unfavorable prognosis. MicroRNA (miR)-129 and its target gene play an important role in the regulation of various diseases. Therefore, the aim of the present study was to investigate the role and mechanism of action for miR-129-5p in the development of HCC. Quantitative results of clinical samples analyzed using reverse transcription-quantitative PCR suggested that miR-129-5p had a significantly lower expression level in tumoral tissues compared with corresponding peritumoral tissues. Overexpression of miR-129-5p in HCC cells was performed using a transfection technique, followed by MTT, Transwell, invasion and wound healing assays to detect the effect of miR-129-5p on the cell cytotoxicity and metastasis of liver cancer in vitro. The downstream target gene of miR-129-5p, bone morphogenetic protein 2 (BMP2), was determined using a luciferase reporter assay. Overexpression of miR-129-5p played a vital role in decreasing cytotoxicity and promoting metastasis of HCC, which may be attributed to its inhibitory effect on the expression of its target gene, BMP2. In clinical samples, miR-129-5p expression levels were found to be negatively correlated with BMP2 and closely associated with HCC metastasis and infiltration. Collectively, the results suggested that miR-129-5p may contribute to proliferation and metastasis of HCC through its target gene, BMP2, and thus may be a potential novel therapeutic target for the treatment of HCC.

Nano-Cerium Oxide Promotes Proliferation of Hepatoma Cells and Regulates mRNA Expression of Apoptosis-Related Genes Bcl-2 and Bax, as Detected Through Real-Time Fluorescent Quantitative Polymerase Chain Reaction.

In this study, we aim to investigate the effects of nano-cerium oxide (CNPs) on the proliferation of hepatoma cells and expression of the Bcl-2 and Bax mRNAs. Huh7, 7721 and HepG2 liver cancer cells were cultured in vitro and treated with CNPs at concentrations of 0.005, 0.01, 0.05, 0.1, and 1 µg/mL. The effect of the CNPs on the proliferation of hepatoma cells were detected by an electrochemical method. The expressions of the Bcl-2 and Bax mRNAs were evaluated by qRT-PCR. Additionally, the effect of CNPs on the cell cycle was investigated by flow cytometry. Low concentrations of CNPs have a proliferative effect on hepatoma cells. qRT-PCR showed that CNPs could inhibit the apoptosis of hepatoma cells. Flow cytometry showed that CNPs had no effect on the hepatocellular carcinoma cell cycle. Low concentrations of CNPs have a proliferative effect on hepatoma cells.