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lt;0.001.
The practical nomogram resulted in a more-accurate prognostic prediction for young HCC patients after curative liver resection.
The practical nomogram resulted in a more-accurate prognostic prediction for young HCC patients after curative liver resection.
Oral squamous cell carcinoma (OSCC) is a solid tumor of squamous epithelial origin. Currently, surgery is still the main treatment for OSCC, with radiotherapy and chemotherapy as important adjuvant treatments. Veliparib However, the problem of poor prognosis of OSCC patients still exists in clinical practice. To explore further potential biomarkers or treatment targets in OSCC patients, this study used a high-throughput gene expression database to study the potential molecular mechanisms of OSCC carcinogenesis.
The GEO database related to OSCC was searched and analyzed using GEO2R. Oncomine and the Human Protein Atlas were used to evaluate the expression level of differentially-expressed genes (DEGs). The cBioPortal dataset was used to analyze the mutations of the potential DEGs and patient survival.
Three GEO datasets, GSE146483, GSE138206, and GSE148944, were downloaded and 7 DEGs were found in common in OSCC tissues. Using Oncomine and the Human Protein Atlas, ANXA1, IL1RN, and SPINK5 were decreased in cancer tissues, while protein levels of APOE and IFI35 were increased accordingly. Interestingly, low levels of ANXA1 and SPINKS were associated with the TNM stage of OSCC patients. No mutations in DEGs were found in OSCC patients, based on the cBioPortal dataset. Survival analysis indicated OSCC patients with high MSR1 had poor overall survival (OS), while low expression of CXCR4, ANXA1, IL1RN, and SPINK5 also predicted poor OS in OSCC patients.
Our findings uncovered 7 potential biomarkers of OSCC patients, with
and
serving as potential tumor suppressor genes in OSCC.
Our findings uncovered 7 potential biomarkers of OSCC patients, with ANXA1 and SPINK5 serving as potential tumor suppressor genes in OSCC.
The purpose of this study was to investigate the prognostic significance of like-Sm (
) genes in early pancreatic ductal adenocarcinoma (PDAC) and explore the potential molecular mechanism. The protein product of the
gene is also known as CASM and YJL124C, while that of the
gene is known as GRP and YER112W.
Data from 112 patients attached to the Whipple surgery were collected from the TCGA database of clinical characteristics and survival data. The Kaplan-Meier method and the multivariate Cox proportional risk regression model were used to analyze the impact of
genes on outcomes in these 112 patients. We performed gene-gene interaction (GGI) and protein-protein interaction (PPI) analysis to probe interactions between
family genes. Bioinformatics techniques were applied to study the potential early-stage molecular mechanisms of
genes. Previously, only a few studies have explored the role and potential mechanisms of
in pancreatic tumor transformation, revealing possible links to transforming growth factor-β, altering the expression of MMP1, uPAR, and SerpinB5 to enhance invasion and metastasis in pancreatic cancer, and facilitating mRNA decapping and degradation. Gene set enrichment analysis (GSEA) also proved that
genes are associated with RNA splicing, RNA synthesis, and RNA decomposition, and they may indirectly cause carcinogenesis through other genes such as myc.
The results showed that
(adjusted P=0.004) and
(adjusted P=0.034) were associated with the prognosis of patients with PDAC, and patients with high expression levels of
(adjusted HR =2.338) or
(adjusted HR =1.803) tended to experience bad outcomes.
Our study revealed that
and
might be used as prognostic biomarkers in early PDAC.
Our study revealed that LSM1 and LSM4 might be used as prognostic biomarkers in early PDAC.
Ovarian cancer cells show resistance to platinum drugs treatment, which brings a big challenge to clinical therapeutics. This study aimed to construct effective drug delivering nanoparticles specifically targeting ovarian cancer cell.
Poly lactic-co-glycolic acid (PLGA) were used to form Nano-spheres by double emulsion method, and to deliver CPT-11. Connected with targeted LHRH-a molecules, their effects were tested by ovarian cancer cell A2780/DDP
and
.
We successfully constructed PLGA nanoparticles carrying LHRH-a (Luteinizing hormone releasing hormone analogue) and CPT-11 (irinotecan HCl trihydrate), which can specifically target LHRH receptor high expression ovarian cancer cell A2780/DDP (cisplatin). Combined with focused ultrasound
, LHRH-a/CPT-11/PLGA nanoparticles significantly inhibited the proliferation of A2780/DDP cells (a cisplatin-resistant A2780 cell line), and the cells were obviously arrested at S phase. Both the mRNA expression and protein level of Caspase3 increased, while Bcl-2varian cancer.
Data on the role of pretreatment plasma D-dimer levels in the prognostic prediction of patients with diffuse large B-cell lymphoma (DLBCL) are limited. We here studied the potential prognostic roles of pretreatment plasma D-dimer levels in patients with DLBCL.
We retrospectively analyzed medical records of 308 newly diagnosed patients with DLBCL admitted to the Fujian Medical University Union Hospital between January 2011 and December 2018. Receiver operating characteristic (ROC) curve analysis were used to generate an optimal cut-off value for pretreatment plasma D-dimer levels in patients with DLBCL. According to the cut-off value, all patients were divided into the low D-dimer and high D-dimer groups. We analyzed the relationship between pretreatment plasma D-dimer levels and clinical and laboratory characteristics in patients with DLBCL. Univariate and multivariate analyses were used to assess prognostic factors for overall survival (OS) and progression-free survival (PFS).
Patients with B symptoms, plasma lactate dehydrogenase levels >upper limit of normal (ULN), poor Eastern Cooperative Oncology Group score (2 to 4), advanced stage (III-IV), >1 extranodal site, higher International Prognostic Index (IPI) (2 to 5) and higher National Comprehensive Cancer Network IPI (NCCN-IPI) (≥4) (all P<0.001) had higher pretreatment plasma D-dimer levels (≥1.4 µg/mL). Patients with higher plasma D-dimer levels had worse OS and PFS (P<0.001 and P=0.001, respectively).
Higher pretreatment plasma D-dimer level was associated with poor survival and was an independent poor predictor of OS among untreated patients with DLBCL.
Higher pretreatment plasma D-dimer level was associated with poor survival and was an independent poor predictor of OS among untreated patients with DLBCL.
The purpose of this study is to analyze the overall prognosis of giant cell tumor of bone (GCTB) and the risk factors that affect its postoperative recurrence.
The databases of PubMed, Cochrane, Web of Science, Embase, China national knowledge infrastructure, China Biology Medicine disc, and Wanfang were searched until 20 June 2020. Following patients, intervention, comparator, outcomes, study design (PICOS) guidelines, eligible articles were defined as studies evaluating the overall prognosis of GCTB and the risk factors that affect its postoperative recurrence. The association between five risk factors (surgical methods, whether there is soft tissue invasion, tumor size, p53 expression, vascular endothelial growth factor (VEGF) expression) and the recurrence of GCTB were calculated using fixed-effects or random-effects models. The heterogeneity of the odd ration (OR) and effect size (ES) of each study was quantified using Cochran's Q test and Higgins-I2 statistic. The publication bias was analyzed throudations for patients with GCTB.
Cancer has always been a serious health threat for human. Patients with cancer are at high risk of drug-related problems (DRPs) due to multi-morbidity associated polypharmacy. However, data is lacking in identifying and addressing potential DRPs in cancer patients in China. This study aims to investigate the prevalence of DRPs and evaluate the effectiveness of an independent anti-neoplastic medication therapy management (MTM) system in ambulatory cancer patients.
This is a retrospective study. An independent anti-neoplastic MTM system in Shanghai Jiao Tong University affiliated sixth People's Hospital was established in 2018 with the collaboration of oncologists, clinical pharmacists and software engineers. The system contains an independent clinic of pharmacy and MTM software. The software consisted of six modules to help clinical pharmacists serve the tumor patients. The six modules include medication therapy review, intervention plan, personal medication record, medication-related action plan, interven in managing polypharmacy tumor patients, with the independent anti-neoplastic MTM system, facilitated the identifying and solving DRPs, especially improving medication adherence of patients, and thus enhancing the effectiveness, safety and rational use of medication.
Skin cutaneous melanoma is one of the most aggressive types of cancers worldwide. Therefore, the identification of skin cutaneous melanoma (SKCM) biomarkers is of great importance. NLRP3 inflammasome complex nodelike receptor protein 3 (NLRP3) is one of the most characteristic inflammasomes belonging to the NLR protein family. This is the first time to use TCGA data to study NLRP3 expression in SKCM patients and its prognostic value, potential biological function, and impact on the immune system.
The expression of NLRP3 in SKCM was analyzed by Gene Expression Profiling Interactive Analysis (GEPIA). We assessed the impact of NLRP3 on SKCM patient survival through the survival module and then downloaded the SKCM data set from TCGA. Logistic regression was used to analyze the correlation between clinical data and NLRP3 expression. Univariate survival rate and multivariate Cox analysis were used to compare several clinical features and survival rates. We also used CIBERSORT to investigate the association betwt NLRP3 might be a predictor of SKCM prognosis.
The discovery of NLRP3 as a new biomarker of SKCM helps to elucidate how changes in the immune environment promote the occurrence of cutaneous melanoma. Further analysis suggested that NLRP3 might be a predictor of SKCM prognosis.
Esophageal squamous cell carcinoma (ESCC) is a serious threat to human health and life. The National Center for Biotechnology Information Gene Expression Omnibus (NCBI-GEO) database provides valuable information on genes related to the pathogenesis and prognosis of ESCC, which helps us to make in-depth understanding about the disease and improve its prognosis.
Four microarray profiles [GSE77861 (African Americans), GSE26886 (Germans), GSE17351 (Americans), and GSE45670 (Chinese)] from the NCBI-GEO including 49 ESCC tissues and 41 corresponding normal tissues were collected. Integrated bioinformatics methods, including protein-protein interaction (PPI) network analysis, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, and Kaplan-Meier plotter were applied to determine the differentially expressed genes (DEGs) in ESCC together with their core functions and relationship with survival.
A total of 220 upregulated and 112 downregulated genes were identified as DEGs in ESCC, of which, 40 upregulated genes were core function genes.
