High cardiovascular mortality risk among older merkel cell carcinoma patients.

OBJECTIVE: Previous research has primarily focused on the incidence and mortality rates of Merkel cell carcinoma (MCC), neglecting the examination of cardiovascular mortality (CVM) risk among survivors, particularly older patients. This study aims to assess the risk of CVM in older individuals diagnosed with MCC. METHODS: Data pertaining to older MCC patients were obtained from the Surveillance, Epidemiology, and End Results database (SEER). CVM risk was measured using standardized mortality ratio (SMR) and cumulative mortality. Multivariate Fine-Gray's competing risk model was utilized to evaluate the risk factors contributing to CVM. RESULTS: Among the study population of 2,899 MCC patients, 465 (16.0%) experienced CVM during the follow-up period. With the prolongation of the follow-up duration, the cumulative mortality rate for CVM reached 27.36%, indicating that cardiovascular disease (CVD) became the second most common cause of death. MCC patients exhibited a higher CVM risk compared to the general population (SMR: 1.69; 95% CI: 1.54-1.86, p < 0.05). Notably, the SMR for other diseases of arteries, arterioles, and capillaries displayed the most significant elevation (SMR: 2.69; 95% CI: 1.16-5.29, p < 0.05). Furthermore, age at diagnosis and disease stage were identified as primary risk factors for CVM, whereas undergoing chemotherapy or radiation demonstrated a protective effect. CONCLUSION: This study emphasizes the significance of CVM as a competing cause of death in older individuals with MCC. MCC patients face a heightened risk of CVM compared to the general population. It is crucial to prioritize cardiovascular health starting from the time of diagnosis and implement personalized CVD monitoring and supportive interventions for MCC patients at high risk. These measures are essential for enhancing survival outcomes.

The Role of Cuproptosis Key Factor FDX1 in Gastric Cancer.

BACKGROUND: Gastric cancer is a common malignant tumor of the digestive tract, both domestically and internationally. It has high incidence and mortality rates, posing a significant threat to human health. The levels of blood copper are elevated in patients with gastric cancer. However, the exact relationship between copper overload and the malignant phenotype of gastric cancer is still unclear. This study aims to investigate the role of the Cuproptosis-related factor FDX1 in the conversion of gastric cancer to a malignant phenotype. METHODS: Firstly, the relative mRNA and protein expression levels of FDX1 in gastric cancer were detected. Secondly, lentiviral transfection of gastric cancer cell lines was performed, and the effects of FDX1 functional intervention on the proliferation, invasion and migration of gastric cancer cells were assessed by CCK-8, colony formation, EdU proliferation, cell scratch and Transwell assays. Thirdly, the differential alteration of genes after overexpression of FDX1 was also analyzed by transcriptome sequencing. Finally, we assessed the tumour-forming capacity in vivo by the xenograft model. RESULTS: FDX1 is significantly upregulated in gastric cancer. The inhibition of FDX1 function results in the suppression of malignant phenotypic transformation in gastric cancer cells. Conversely, overexpression of FDX1 function leads to alterations in tumor-related signaling pathways and the tumor microenvironment. CONCLUSION: FDX1 plays a significant role in the malignant phenotypic transformation of gastric cancer cells. Further investigation into the regulatory mechanism of FDX1 in the malignant transformation of gastric cancer will enhance our understanding of the involvement of Cuproptosis in gastric cancer.

Tumor-derived extracellular vesicle proteins as new biomarkers and targets in precision oncology.

Extracellular vesicles (EVs) are important carriers of signaling molecules, such as nucleic acids, proteins, and lipids, and have become a focus of increasing interest due to their numerous physiological and pathological functions. For a long time, most studies on EV components focused on noncoding RNAs; however, in recent years, extracellular vesicle proteins (EVPs) have been found to play important roles in diagnosis, treatment, and drug resistance and thus have been considered favorable biomarkers and therapeutic targets for various tumors. In this review, we describe the general protocols of research on EVPs and summarize their multifaceted roles in precision medicine applications, including cancer diagnosis, dynamic monitoring of therapeutic efficacy, drug resistance research, tumor microenvironment interaction research, and anticancer drug delivery.

TET2-STAT3-CXCL5 nexus promotes neutrophil lipid transfer to fuel lung adeno-to-squamous transition.

Phenotypic plasticity is a rising cancer hallmark, and lung adeno-to-squamous transition (AST) triggered by LKB1 inactivation is significantly associated with drug resistance. Mechanistic insights into AST are urgently needed to identify therapeutic vulnerability in LKB1-deficient lung cancer. Here, we find that ten-eleven translocation (TET)-mediated DNA demethylation is elevated during AST in KrasLSL-G12D/+; Lkb1L/L (KL) mice, and knockout of individual Tet genes reveals that Tet2 is required for squamous transition. TET2 promotes neutrophil infiltration through STAT3-mediated CXCL5 expression. Targeting the STAT3-CXCL5 nexus effectively inhibits squamous transition through reducing neutrophil infiltration. Interestingly, tumor-infiltrating neutrophils are laden with triglycerides and can transfer the lipid to tumor cells to promote cell proliferation and squamous transition. Pharmacological inhibition of macropinocytosis dramatically inhibits neutrophil-to-cancer cell lipid transfer and blocks squamous transition. These data uncover an epigenetic mechanism orchestrating phenotypic plasticity through regulating immune microenvironment and metabolic communication, and identify therapeutic strategies to inhibit AST.

Correction to: Identification of TAZ as the essential molecular switch in orchestrating SCLC phenotypic transition and metastasis.

[This corrects the article DOI: 10.1093/nsr/nwab232.].

The Functions and Mechanisms of Long Non-coding RNA SNHGs in Gastric Cancer.

Gastric cancer is one of the most common malignancies worldwide. Despite significant advancements in surgical and adjuvant treatments, patient prognosis remains unsatisfactory. Long non-coding RNAs (lncRNAs) are a class of RNA molecules that lack protein-coding capacity but can participate in various mechanisms of tumor malignancy. Among them, small nucleolar host genes (SNHGs) represent a subgroup of lncRNAs. Studies have revealed their involvement not only in gastric cancer cell proliferation, invasion, migration, epithelialmesenchymal transition (EMT), and apoptosis but also in chemotherapy resistance and tumor stemness. This review comprehensively summarizes the biological functions, molecular mechanisms, and clinical significance of SNHGs in gastric cancer. It provides novel insights into potential biomarkers and therapeutic targets for the exploration of gastric cancer.

The diagnostic or prognostic values of FADD in cancers based on pan­cancer analysis.

Previous studies have determined that aberrant expression of the fas-associated death domain (FADD) contributes to the development of cancer. However, no pan-cancer analysis has been reported to explore the relationship between FADD and various cancers. Multiple databases were screened to identify cancer datasets for the present study and to validate the expression of FADD in various tumors. The association of FADD alteration with cancer prognosis, clinical features and tumor immunity was also evaluated. Reverse transcription-quantitative PCR (RT-qPCR) was utilized to confirm the expression of FADD in breast, colon, liver and gastric cancer cells. Analysis of Gene Expression Omnibus database and The Cancer Genome Atlas database indicated that FADD was highly expressed in breast invasive carcinoma (BRCA), cervical squamous cell carcinoma and endocervical adenocarcinoma, cholangiocarcinoma, colon adenocarcinoma (COAD), esophageal carcinoma (ESCA), kidney renal clear cell carcinoma, kidney renal papillary cell carcinoma, liver hepatocellular carcinoma (LIHC), lung adenocarcinoma (LUAD) and prostate adenocarcinoma, whereas RT-qPCR results revealed that FADD was highly expressed in breast cancer and colon cancer. Further analyses demonstrated that FADD expression was significantly altered in ESCA, head and neck squamous cell carcinoma (HNSC), lung squamous cell carcinoma and BRCA. FADD expression was observed to be a risk factor of the overall survival in patients with HNSC, LIHC and LUAD as demonstrated by Kaplan-Meier and Cox regression analyses. The results of the present study demonstrated that FADD is highly expressed in numerous malignancies and can be utilized as a biomarker for the diagnosis of BRCA, COAD, LIHC and stomach adenocarcinoma. Moreover, FADD expression is a predictive risk factor for the development of HNSC, LIHC and LUAD and can potentially be used as a prognostic marker for these cancers.

Comparison of Efficacy and Safety of Laparoscopic Holmium laser Lithotripsy and Laparoscopic Bile Duct Exploration for Bile Duct Stones: A Systematic Review and Meta-Analysis.

BACKGROUND: Laparoscopic holmium laser lithotripsy (LHLL) has been used to treat bile duct stones with unclear outcomes. A meta-analysis was conducted to investigate the LHLL and laparoscopic bile duct exploration (LBDE) efficacy and safety in treating bile duct stones. METHODS: The correlational studies were searched databases, such as PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang, and VIP, to identify eligible studies from inception to July 2022. The dichotomous and continuous outcomes were evaluated using odds ratio (OR), risk difference (RD) and weighted mean difference (WMD) with 95% confidence intervals (CIs). Stata 15.0 and Review Manager 5.3 software helped in data analyses. RESULTS: A total of 23 studies with 1,890 patients, primarily from China, were included. The results indicated that operation time (WMD = - 26.94; 95% CI:(- 34.30, - 19.58); P < 0.00001), estimated blood loss (WMD = - 17.97; 95% CI: (- 22.94, - 13.00); P = 0.002), rate of residual stone (OR = 0.15, 95%CI: (0.10, 0.23); P < 0.00001), length of hospital stay (WMD = - 2.88; 95% CI:(- 3.80, - 1.96); P < 0.00001) and time to bowel function recovery (WMD = - 0.59; 95% CI: (- 0.76, - 0.41); P < 0.00001) had statistically significant differences between the two groups. In postoperative complications, biliary leakage (RD = -0.03; 95% CI: (- 0.05, -0.00); P = 0.02), infection (RD = - 0.06; 95% CI: (- 0.09,- 0.03); P < 0.00001) and Hepatic injury (RD = - 0.06; 95% CI: (- 0.11, - 0.01); P = 0.02) revealed statistically significant differences. However, no significant differences were observed in biliary damage (RD = - 0.03; 95% CI: (- 0.06, 0.00); P = 0.06) and hemobilia (RD = - 0.03; 95% CI: (- 0.06, 0.00); P = 0.08). CONCLUSION: The current meta-analysis indicated that LHLL could be more effective and safer than LBDC. However, these results should be confirmed with a larger sample size and rigorously designed randomized controlled trials.

A nomogram for predicting survival in patients with skin non-keratinizing large cell squamous cell carcinoma: A study based on the Surveillance, Epidemiology, and End Results database.

Introduction: This study aimed to develop and validate a nomogram for predicting cancer-specific survival (CSS) in patients with non-keratinized large cell squamous cell carcinoma (NKLCSCC) at 3, 5, and 8 years after diagnosis. Methods: Data on SCC patients were collected from the Surveillance, Epidemiology, and End Results database. Training (70%) and validation (30%) cohorts were generated using random selection of patients. Independent prognostic factors were selected using the backward stepwise Cox regression model. To predict the CSS rates in patients with NKLCSCC at 3, 5, and 8 years after diagnosis, all of the factors were incorporated into the nomogram. Indicators such as the concordance index (C-index), area under the time-dependent receiver operating characteristic curve (AUC), net reclassification index (NRI), integrated discrimination improvement (IDI), calibration curve, and decision-curve analysis (DCA) were then used to validate the performance of the nomogram. Results: This study included 9,811 patients with NKLCSCC. Twelve prognostic factors were identified by Cox regression analysis in the training cohort, which were age, number of regional nodes examined, number of positive regional nodes, sex, race, marital status, American Joint Committee on Cancer (AJCC) stage, surgery status, chemotherapy status, radiotherapy status, summary stage, and income. The constructed nomogram was validated both internally and externally. The nomogram had good discrimination ability, as indicated by the comparatively high C-indices and AUC values. The nomogram was properly calibrated, as indicated by the calibration curves. Our nomogram was superior to the AJCC model, as illustrated by its superior NRI and IDI values. DCA curves indicated the clinical usability of the nomogram. Conclusion: The first nomogram for prognosis predictions of patients with NKLCSCC has been developed and verified. Its performance and usability demonstrated that the nomogram could be utilized in clinical settings. However, additional external verification is still required.

Prognosis of the Keratinizing Squamous Cell Carcinoma of the Tongue Based on Surveillance, Epidemiology, and End Results Database.

Background: The objective of this study is to determine the prognostic factors of keratinizing squamous cell carcinoma of the tongue (KTSCC) and to establish a prognostic nomogram of KTSCC to assist clinical diagnosis and treatment. Methods: This study identified 3874 patients with KTSCC from the Surveillance, Epidemiology, and End Results (SEER) database, and these patients were randomly divided into the training (70%, (n = 2711) and validation (30%, n = 1163) cohorts. Cox regression was then used to filter variables. Nomograms were then constructed based on meaningful variables. Finally, the concordance index (C-index), net reclassification index (NRI), integrated discrimination improvement (IDI), calibration charts, and decision-curve analysis (DCA), were used to evaluate the discrimination, accuracy and effectiveness of the model. Results: A nomogram model was established for predicting the 3-, 5-, and 8-year overall survival (OS) probabilities of patients with KTSCC. The model indicated that age, radiotherapy sequence, SEER stage, marital status, tumor size, American Joint Committee on Cancer (AJCC) stage, radiotherapy status, race, lymph node dissection status, and sex were factors influencing the OS of patients with KTSCC. Verified by C-index, NRI, IDI, calibration curve, and DCA curve, our model has better discrimination, calibration, accuracy and net benefit compared to the AJCC system. Conclusions: This study identified the factors that affect the survival of KTSCC patients and established a prognostic nomogram that can help clinicians predict the 3-, 5-, and 8-year survival rates of KTSCC patients.

Effects of oxidative stress caused by iron overload on arachidonic acid metabolites in MES23.5 cells.

Iron overload can induce oxidative stress, thereby inducing cell peroxidation. Arachidonic acid (ARA) is widely expressed in mammalian cells and esterified to membrane phospholipids. To explore the effect of iron overload on the metabolism of membrane phospholipids MES23.5 cells were treated with various concentrations of ferric ammonium citrate (FAC) to induce oxidative stress. Using UHPLC (I-Class LC, Waters) coupled to a QTRAP (AB Sciex 5500) technology, the contents of 13 substances of ARA and its metabolites were detected. When the cells were given two different concentrations of FAC, we found that both high and low concentrations decrease the expression of ARA (p=0.002, p=0.02) compared with the control group. ARA has three metabolic pathways: the COX pathway, LOX pathway and CYP450 pathway. Compared with the control group, the LTB4 content in the LOX pathway was decreased (p=0.10) after treatment with lowconcentration FAC, while the LTB4 content was increased in the high-concentration treatment group (p=0.06). However, the content of 12S-HETE (p=0.23, p=0.05) in the LOX metabolic pathway decreased with increase of FAC concentration. Similarly, the content of 15S-HETE also decreased with increase of FAC concentration (p=0.17, p=0.02). The other downstream metabolites of ARA, 9S-HODE (p=0.54, p=0.18) and 13S-HODE (p=0.81, p=0.13) were not significantly changed. The contents of thromboxane B2 (TXB2), leukotriene D4 (LTD4), prostaglandin E2 (PGE2), 8-iso-prostaglandin F2α (8-iso-PGF2α), prostaglandin F2α (PGF2α), 6-keto-PGF1α, and prostaglandin D2 (PGD2) were too low to be detected in MES23.5 cells. The above results indicate that oxidative stress caused by iron overload reduces the LOX metabolic pathway of ARA.

Identification of TAZ as the essential molecular switch in orchestrating SCLC phenotypic transition and metastasis.

Small-cell lung cancer (SCLC) is a recalcitrant cancer characterized by high metastasis. However, the exact cell type contributing to metastasis remains elusive. Using a Rb1 L/L /Trp53 L/L mouse model, we identify the NCAMhiCD44lo/- subpopulation as the SCLC metastasizing cell (SMC), which is progressively transitioned from the non-metastasizing NCAMloCD44hi cell (non-SMC). Integrative chromatin accessibility and gene expression profiling studies reveal the important role of the SWI/SNF complex, and knockout of its central component, Brg1, significantly inhibits such phenotypic transition and metastasis. Mechanistically, TAZ is silenced by the SWI/SNF complex during SCLC malignant progression, and its knockdown promotes SMC transition and metastasis. Importantly, ectopic TAZ expression reversely drives SMC-to-non-SMC transition and alleviates metastasis. Single-cell RNA-sequencing analyses identify SMC as the dominant subpopulation in human SCLC metastasis, and immunostaining data show a positive correlation between TAZ and patient prognosis. These data uncover high SCLC plasticity and identify TAZ as the key molecular switch in orchestrating SCLC phenotypic transition and metastasis.

TCP1 mediates gp37 of avian leukosis virus subgroup J to inhibit autophagy through activating AKT in DF-1 cells.

Autophagy is a conserved process by which cells maintain homeostasis. However, abnormalities in autophagy can lead to the development of various diseases, including cancer. Avian leukosis virus Subgroup J (ALV-J) is an oncogenic exogenous retrovirus, which induces severe immunosuppression and development of tumors in susceptible host. This study reveals for the first time that ALV-J inhibits autophagy through the envelope protein gp37. Here we demonstrate that envelope protein gp37 blocks the fusion of autophagosomes to lysosomes and induces incomplete autophagy. Interestingly, additional experiments revealed that the host chaperone protein TCP1 is also an autophagy inhibitor and blocking the process of autophagic flow in DF-1 cells. Through immunoprecipitation assays, we found that TCP1 interacts with gp37. In addition, TCP1 knockdown also abolished gp37-mediated inhibition of autophagy in DF-1 cells. Furthermore, TCP1 mediates gp37 of ALV-J to inhibit autophagy through activating AKT for promoting viral replication in DF-1 cells.

Transcriptome-Wide Dynamics of m6A Methylation in Tumor Livers Induced by ALV-J Infection in Chickens.

Avian Leukosis Virus Subgroup J (ALV-J) is a tumorigenic virus with high morbidity and rapid transmission. N6-methyladenosine (m6A) is a common epigenetic modification that may be closely related to the pathogenicity of ALV-J. Currently, there are no reports on whether m6A modification is related to ALV-J induced tumor formation. In this study, we used methylated RNA immunoprecipitation sequencing (MeRIP-seq) and RNA sequencing (RNA-seq) to examine the differences in m6A methylation and gene expression in normal livers and ALV-J-induced tumor livers systematically, with functional enrichment and co-expression analysis. The results identified 6,541 m6A methylated peaks, mainly enriched in CDS, and more than 83% of the transcripts contained 1-2 m6A peaks. For RNA-seq, 1,896 and 1,757 differentially expressed mRNAs and lncRNAs were identified, respectively. Gene enrichment analysis indicated that they may be involved in biological processes and pathways such as immunology-related and apoptosis. Moreover, we identified 17 lncRNAs, commonly existing in differently expressed methylome and transcriptome. Through co-expression analysis, 126 differentially expressed lncRNAs, and 18 potentially m6A-related methyltransferases were finally identified and connected, suggesting that m6A modifications might affect gene expression of lncRNAs and play a role in ALV-J induced tumor formation. This study provides the first comprehensive description of the m6A expression profile in tumor livers induced by ALV-J infection in chickens, which provides a basis for studying the role of m6A modification in ALV-J induced tumorigenesis. This study provides clues for studying the epigenetic etiology and pathogenesis of ALV-J.

Therapeutic targeting of the mevalonate-geranylgeranyl diphosphate pathway with statins overcomes chemotherapy resistance in small cell lung cancer.

Small cell lung cancer (SCLC) lacks effective treatments to overcome chemoresistance. Here we established multiple human chemoresistant xenograft models through long-term intermittent chemotherapy, mimicking clinically relevant therapeutic settings. We show that chemoresistant SCLC undergoes metabolic reprogramming relying on the mevalonate (MVA)-geranylgeranyl diphosphate (GGPP) pathway, which can be targeted using clinically approved statins. Mechanistically, statins induce oxidative stress accumulation and apoptosis through the GGPP synthase 1 (GGPS1)-RAB7A-autophagy axis. Statin treatment overcomes both intrinsic and acquired SCLC chemoresistance in vivo across different SCLC PDX models bearing high GGPS1 levels. Moreover, we show that GGPS1 expression is negatively associated with survival in patients with SCLC. Finally, we demonstrate that combined statin and chemotherapy treatment resulted in durable responses in three patients with SCLC who relapsed from first-line chemotherapy. Collectively, these data uncover the MVA-GGPP pathway as a metabolic vulnerability in SCLC and identify statins as a potentially effective treatment to overcome chemoresistance.

PI3K/Akt/mTOR signaling orchestrates the phenotypic transition and chemo-resistance of small cell lung cancer.

Small cell lung cancer (SCLC) is a phenotypically heterogeneous disease with an extremely poor prognosis, which is mainly attributed to the rapid development of resistance to chemotherapy. However, the relation between the growth phenotypes and chemo-resistance of SCLC remains largely unclear. Through comprehensive bioinformatic analyses, we found that the heterogeneity of SCLC phenotype was significantly associated with different sensitivity to chemotherapy. Adherent or semiadherent SCLC cells were enriched with activation of the PI3K/Akt/mTOR pathway and were highly chemoresistant. Mechanistically, activation of the PI3K/Akt/mTOR pathway promotes the phenotypic transition from suspension to adhesion growth pattern and confers SCLC cells with chemo-resistance. Such chemo-resistance could be largely overcome by combining chemotherapy with PI3K/Akt/mTOR pathway inhibitors. Our findings support that the PI3K/Akt/mTOR pathway plays an important role in SCLC phenotype transition and chemo-resistance, which holds important clinical implications for improving SCLC treatment.

Host sunflower-induced silencing of parasitism-related genes confers resistance to invading Orobanche cumana.

Orobanche cumana is a holoparasitic plant that attaches to host-plant roots and seriously reduces the yield of sunflower (Helianthus annuus L.). Effective control methods are lacking with only a few known sources of genetic resistance. In this study, a seed-soak agroinoculation (SSA) method was established, and recombinant tobacco rattle virus vectors were constructed to express RNA interference (RNAi) inducers to cause virus-induced gene silencing (VIGS) in sunflower. A host target gene HaTubulin was systemically silenced in both leaf and root tissues by the SSA-VIGS approach. Trans-species silencing of O. cumana genes were confirmed for 10 out of 11 target genes with silencing efficiency of 23.43%-92.67%. Knockdown of target OcQR1, OcCKX5, and OcWRI1 genes reduced the haustoria number, and silencing of OcEXPA6 caused further phenotypic abnormalities such as shorter tubercles and necrosis. Overexpression of OcEXPA6 caused retarded root growth in alfalfa (Medicago sativa). The results demonstrate that these genes play an important role in the processes of O. cumana parasitism. High-throughput small RNA (sRNA) sequencing and bioinformatics analyses unveiled the distinct features of target gene-derived siRNAs in O. cumana such as siRNA transitivity, strand polarity, hotspot region, and 21/22-nt siRNA predominance, the latter of which was confirmed by Northern blot experiments. The possible RNAi mechanism is also discussed by analyzing RNAi machinery genes in O. cumana. Taken together, we established an efficient host-induced gene silencing technology for both functional genetics studies and potential control of O. cumana. The ease and effectiveness of this strategy could potentially be useful for other species provided they are amenable to SSA.

MicroRNA expression profile in extracellular vesicles derived from ALV-J infected chicken semen.

MicroRNAs(miRNAs) have been reported to regulate gene expression in many processes. MiRNA in extracellular vesicles (EVs) also have been widely investigated, while there is no studies of miRNAs in seminal EVs. Subgroup J of Avian leukosis virus (ALV-J) can be transmitted vertically, but the mechanism of it is not clear enough. This study was to examine the miRNA expression profile in seminal EVs and inquire into the relation between it and the vertical transmission by performing gene ontology (GO) and pathway enrichment analysis. Here, we first isolated and characterized seminal EVs by Nanoparticle Tracking Analysis、Western Blot and Transmission electron microscopy experiments. By deep sequencing of each EVs miRNA library, 9 typical differentially expressed miRNA, including 6 up-regulated and 3 down-regulated, were identified. Gene target prediction, GO annotation and KEGG pathway enrichment analysis showed possible function associated with these miRNAs. Overall, these findings will increase our understanding of the content and composition of miRNA in seminal EVs and provide new insights into the important role of the seminal EVs miRNAs regulation in ALV-J transmission.