We conducted the first meta-analysis to identify the predictive significance of baseline blood biomarkers (such as neutrophil to lymphocyte ratio (NLR), early alpha-fetoprotein (AFP) response, albumin-bilirubin (ALBI), AFP, platelet to lymphocyte ratio (PLR), C-reactive protein (CRP), protein induced by vitamin K absence II (PIVKA-II), and lymphocyte to monocyte ratio (LMR)) in hepatocellular carcinoma (HCC) patients treated with immune checkpoint inhibitors (ICIs). Eligible articles were retrieved using PubMed, the Cochrane Library, EMBASE, and Google Scholar by November 24, 2022. Clinical outcomes were overall survival (OS), progression-free survival (PFS), objective response rate (ORR), disease control rate (DCR), and hyperprogressive disease (HPD). A total of 44 articles with 5322 patients were included in this meta-analysis. The pooled results demonstrated that patients with high NLR levels had significantly poorer OS (HR: 1.951, P < 0.001) and PFS (HR: 1.632, P < 0.001), lower ORR (OR: 0.484, P < 0.001) and DCR (OR: 0.494, P = 0.027), and higher HPD (OR: 8.190, P < 0.001). The patients with high AFP levels had shorter OS (HR: 1.689, P < 0.001) and PFS (HR: 1.380, P < 0.001), and lower DCR (OR: 0.440, P < 0.001) than those with low AFP levels, however, there was no difference in ORR (OR: 0.963, P = 0.933). We also found that early AFP response was correlated with better OS (HR: 0.422, P < 0.001) and PFS (HR: 0.385, P < 0.001), higher ORR (OR: 7.297, P < 0.001) and DCR (OR: 13.360, P < 0.001) compared to non-responders. Besides, a high ALBI grade was significantly related to shorter OS (HR: 2.440, P = 0.009) and PFS (HR: 1.373, P = 0.022), lower ORR (OR: 0.618, P = 0.032) and DCR (OR: 0.672, P = 0.049) than those with an ALBI grade 1. The NLR, early AFP response, and ALBI were useful predictors of outcomes in HCC patients treated with ICIs.

Breast cancer (BC) is the world’s second most frequent malignancy and the leading cause of mortality among women. All in situ or invasive breast cancer derives from terminal tubulobular units; when the tumor is present only in the ducts or lobules in situ, it is called ductal carcinoma in situ (DCIS)/lobular carcinoma in situ (LCIS). The biggest risk factors are age, mutations in breast cancer genes 1 or 2 (BRCA1 or BRCA2), and dense breast tissue. Current treatments are associated with various side effects, recurrence, and poor quality of life. The critical role of the immune system in breast cancer progression/regression should always be considered. Several immunotherapy techniques for BC have been studied, including tumor-targeted antibodies (bispecific antibodies), adoptive T cell therapy, vaccinations, and immune checkpoint inhibition with anti-PD-1 antibodies. In the last decade, significant breakthroughs have been made in breast cancer immunotherapy. This advancement was principally prompted by cancer cells’ escape of immune regulation and the tumor’s subsequent resistance to traditional therapy. Photodynamic therapy (PDT) has shown potential as a cancer treatment. It is less intrusive, more focused, and less damaging to normal cells and tissues. It entails the employment of a photosensitizer (PS) and a specific wavelength of light to create reactive oxygen species. Recently, an increasing number of studies have shown that PDT combined with immunotherapy improves the effect of tumor drugs and reduces tumor immune escape, improving the prognosis of breast cancer patients. Therefore, we objectively evaluate strategies for their limitations and benefits, which are critical to improving outcomes for breast cancer patients. In conclusion, we offer many avenues for further study on tailored immunotherapy, such as oxygen-enhanced PDT and nanoparticles.

Severe acute pancreatitis (SAP) is a life-threatening abdominal condition often complicated by intestinal barrier dysfunction, which further exacerbates disease progression. Neferine has demonstrated potent anti-inflammatory and antioxidant properties; however, its role in ameliorating SAP and associated intestinal barrier damage remains unclear. In this study, we found that neferine administration significantly alleviates SAP severity by reducing pancreatic and ileal pathological damage, oxidative stress, inflammatory cell infiltration, and intestinal flora translocation. Additionally, neferine enhances the expression of tight junction proteins, increases short-chain fatty acid levels, and improves intestinal dysbiosis, thereby contributing to intestinal homeostasis restoration. Mechanistically, neferine upregulates Nrf2 expression and promotes its nuclear translocation by competitively binding to the Cys-288 site on Keap1. This activation enhances the Nrf2/FPN and Nrf2/xCT/GPX4 axes, thereby preventing ferroptosis and ultimately protecting against pancreatic and intestinal injury in SAP mice. Furthermore, the protective effects of neferine were largely reversed by the Nrf2 inhibitor ML385 and the ferroptosis inducer erastin. This study demonstrates that neferine effectively alleviates SAP by inhibiting ferroptosis and restoring intestinal homeostasis, providing insights into new treatment options for SAP.

SLC16A3/monocarboxylate transporter 4 (MCT4) regulates intracellular lactate transport and is highly expressed in many tumors, indicating poor prognosis. It may be related to inducing hypoxia, apoptosis and other mechanisms, but the study of MCT4 in HCC is far from complete. In this study, we first analyzed the expression of SLC16A3 in HCC tumor and non-tumor tissue samples based on TCGA data and immunohistochemistry. Subsequently, the effects of SLC16A3 expression on cell proliferation and invasion were analyzed using hepatocellular carcinoma (HCC) lines, and Western blot (WB) analysis was performed to explore the changes in pathway proteins and ferroptosis proteins. Finally, the drug sensitivity was tested by CCK8 kit. We found that SLC16A3 was significantly upregulated in tumor tissues, and was significantly correlated with TNM stage, histological grade, and macrovascular invasion. TCGA data and WB analysis showed that the high expression of SLC16A3 induced hypoxia, and knockdown could reverse hypoxia and inhibit ERK phosphorylation, thus limiting the malignant behavior of HCC cells. Moreover, knockdown of SLC16A3 significantly increased the level of lipid peroxidation and reactive oxygen species (ROS), while the expressions of GPX4, DHODH and SLC7A11 were inhibited. The expression of SLC16A3 affected the sensitivity of HCC cells to chemotherapy and targeted drugs, and RNA sequencing data suggested that the expression level influenced tumor microenvironment and response to immunotherapy. So, we draw a conclude that SLC16A3 is associated with poor prognosis of HCC. Inhibition of SLC16A3 expression is a potential therapeutic target for HCC.

Background: The outbreak of COVID-19 has aroused global concerns. We aimed to describe the clinical characteristics of COVID-19 nonsurvivors and analyze possible causes for the rapid disease progress to death. Methods: Patients with confirmed COVID-19 died in Renmin Hospital of Wuhan University before February 15, 2020, were identified. We obtained epidemiological, demographic, and clinical data from electronic medical records. Results: Among 101 nonsurvivors, the median age was 71.0 years (IQR, 59.0-80.0), 59.4% were male, 79.2% had one or more comorbidities including hypertension (58.4%), cardiovascular disease (22.8%), diabetes (20.8%) etc. The most common symptoms were fever (76.2%), cough (58.4%) and dyspnea (54.5%). Respiratory failure (99.0%), acute cardiac injury (52.5%), sepsis (40.6%) and acute kidney injury (23.8%) were most common complications. Compared with patients died after 3 days of admission, patients died within 3 days of admission had significantly higher white blood cell count (10.8 vs 6.7×10 ⁹ /L, P =0.001) and neutrophil count (8.9 vs 5.5×10 ⁹ /L, P =0.001), longer prothrombin time (13.2 vs 12.5 s, P =0.040), higher D-dimer concentration (7.64 vs 2.82, P =0.040), higher lactate level (2.9 vs 2.2 mmol/L, P =0.042), lower oxygen saturation (85.0% vs 91.0%, P =0.008), and were more likely to suffer sepsis (52.1% vs 30.2%, P =0.025). Conclusions: Older patients with underlying comorbidities suffering COVID-19 were at high risk of death. Respiratory failure, acute cardiac injury and acute kidney injury played crucial roles in the death of COVID-19 patients. Early development of sepsis was associated with the rapid disease progress to death.

Background: Most patients with multiple hepatocellular carcinoma (MHCC) are at advanced stage once diagnosed, so that clinical treatment and decision-making are quite tricky. The AJCC-TNM system cannot accurately determine prognosis, our study aimed to identify prognostic factors for MHCC and to develop a prognostic model to quantify the risk and survival probability of patients.Methods: Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.Results: A total of eight variables were included in the follow-up study, our analysis identified that the gradient boosted machine (GBM) model was the best prognostic model for advanced MHCC. In particular, the GBM model in the training cohort had a C-index of 0.73, a Brier score of 0.124, with area under the curve (AUC) values above 0.78 at the first, third, and fifth year. Importantly, the model also performed well in test cohort. The Kaplan–Meier (K-M) survival analysis demonstrated that the newly developed risk stratification system could well differentiate the prognosis of patients.Conclusion: Of the ML models, GBM model could predict the prognosis of advanced MHCC patients most accurately.