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Carcinoma Prognosis - Europe PMC

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Last Updated: 03 October 2022

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Serum insulin-like growth factor binding protein-3 as a potential biomarker for diagnosis and prognosis of oesophageal squamous cell carcinoma.

We stayed focused on serum IGFBP3 as a potential biomarker of diagnosis and prognosis for oesophageal squamous carcinoma. Enzyme-linked immunosorbent assay was used to determine the serum IGFBP3 level in the training cohort, which included 136 ESCC patients and 119 normal controls, as well as the validation cohort with 55 ESCC patients and 42 normal controls. Serum IGFBP3 levels were significantly lower in early-stage ESCC or ESCC patients than those in normal controls, which were much lower in comparison to those in normal controls. The sensitivity and sensitivity of serum IGFBP3 for the diagnosis of ESCC were 95. 80% and 50. 00%, respectively, with the region in the training cohort under the ROC curve of 0. 788. Importantly, serum IGFBP3 could also distinguish early-stage ESCC from controls. Conclusion We found that serum IGFBP3 was a potential biomarker of diagnosis and prognosis for ESCC. With independent cohort analysis, Key MessageSerum IGFBP3 demonstrated early diagnostic value in oesophageal squamous cell carcinoma.

Source link: https://europepmc.org/article/MED/35930383


TP53 mutation detected in circulating exosomal DNA is associated with prognosis of patients with hepatocellular carcinoma.

This was the first to use droplet digital PCR to find tumor-specific mutations in exoDNA and to determine hepatocellular carcinoma patients' prognosis. We used ddPCR to find a c. 747 G > T mutation in the TP53 gene. To determine the association between mutation frequency and prognostic, we used Cox regression to determine the relationship. In exoDNA, 48 of 60 patients had a c. 747 G > T mutation in the TP53 gene, and exoDNA. The corresponding AUC was 0. 67, according to the ROC curve results, the highest cutoff value for mutation frequency prediction to MVI was 67%. In addition, we discovered that patients with high-frequency mutations had shorted median recurrence-free survival for 63 days, compared to 368 days for patients with low-frequency mutation. We also provided evidence that the exoDNA mutations might be used to predict patients with poor RFS.

Source link: https://europepmc.org/article/MED/35921289


Integrative analysis of TRPV family to prognosis and immune infiltration in renal clear cell carcinoma.

In ccRCC, however, the expression and prognosis of TRPV family and tumor-infiltrating immune cells are unclear. From the perspective of bioinformatics, this research sought to investigate the prognostic and therapeutic value of the TRPV family expression in ccRCC. From the Cancer Genome Atlas database, we reviewed the transcriptome and clinical results of kidney renal clear cell carcinoma. In addition, we performed a drug screening to select the drugs with the highest correlation with TRPV3. As a result, the TRPV family, particularly TRPV3, can act as a prognostic biomarker in ccRCC to determine prognosis and levels of immune leakage.

Source link: https://europepmc.org/article/MED/35389815


Construction of a ferroptosis-related five-lncRNA signature for predicting prognosis and immune response in thyroid carcinoma.

Background Thyroid carcinoma is the most common endocrine-related malignant tumor. Ferroptosis, an iron-dependent, oxidative, non-apoptotic form of cell death first described in mammalian cells, has a role in a variety of cancers. Ferroptosis' potential prognostic value in THCA was explored by ferroptosis-related long non-coding RNAs, which were used to develop a risk prediction of THCA. Methods RNA sequencing results of THCA patients and ferroptosis-related genes were downloaded from The Cancer Genome Atlas and FerrDb, respectively. Patients with complete data were randomly divided into a training cohort and a validation cohort with a ratio of 2:1. To determine the expression level of FRLs in THCA tissues, the Gene Expression Omnibus database and qRT-PCR were used. To create a FRLs signature based on the lowest Akaike information criterion value in the training cohort, a multivariate cox regression test was carried out, followed by a multivariate cox regression study that was then validated in the validation cohort and the entire cohort. Patients in the high-risk group had worse prognosis and area under ROC curve value, according to Kaplan-Meier's report and area under ROC curve value. Patients in the high-risk group also had worse prognosis than those in the low-risk group. The risk score, according to Univariate and multivariate cox regression results, was an independent prognostic indicator. Immun-related pathways against cancer were significantly stimulated in the low-risk THCA patients, according to a functional enrichment review. Conclusions Our study used the TCGA THCA data to develop a new FRLs prognostic model that could accurately predict THCA patient prognosis.

Source link: https://europepmc.org/article/MED/36175889


Necroptosis-related lncRNA signature predicts prognosis and immune response for cervical squamous cell carcinoma and endocervical adenocarcinomas.

Analytic paper, Gene Ontology review, Kyoto Encyclopedia of Genes and Genomes pathway enrichment, and analytic paper make it clear that immune-related signaling pathways are extremely abundant in the high-risk subgroup. In addition, the prognostic risk score model is correlated to immune cell migration, potential immune checkpoint, immune function, immune micro-environmental, and a m6A-related gene. In the low-risk subgroup in most of test cases, mutation frequency in mutated genes and survival probability trend is higher than in the high-risk subgroup compared to the high-risk subgroup. This review builds a new prognostic model of eleven-NRlncRNAs, which may be able to accurately forecast CESC patients' prognosis and immune response, as well as increasing the recognition of CESC patients and optimizing customized therapy regimens to some degree.

Source link: https://europepmc.org/article/MED/36175606


m6A RNA methylation regulator-related signatures exhibit good prognosis prediction ability for head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma is the sixth most common malignant disease worldwide and is attributed to high mortality, with a 5-year survival rate of less than 50%. Although recent research has shown that improperly expressed m6A regulators are involved in a variety of biological and pathological processes, including cancers, it is not well understood, how HNSCC's specific mechanisms are not well understood. To determine the immune cell infiltration level in the tumor microenvironment, cell type identification based on estimating relative subsets of RNA transcripts algorithms was used. Patients were divided into high- and low-risk score subgroups based on an m6A signature-based risk score model and classified into high- and low-risk score subgroups. Poor clinical results, elevated immune filtration rates, elevated chemokine and chemokine receptor expression levels, and lower immune checkpoint gene expression among the low-risk-score subgroups were among the low-risk-score subgroup's poorer clinical characteristics, such as poor clinical characteristics, elevated blood flow, elevated chemokine and chemokine receptor expression, and reduced immune checkpoint gene expression in the high-risk-score subgroup's low risk-score subgroupscore subgroup score subset.

Source link: https://europepmc.org/article/MED/36175504


A novel tumor mutation burden related lncRNA signature identified prognosis and tumor immune microenvironment features in clear cell renal cell carcinoma.

Background Currently published information indicates that long noncoding RNA plays a vital biological role in cellular cell carcinoma differentiation in clear cell renal cell carcinoma, according to cellular tumor cells, but the clinical value of tumor mutation burden correlated lncRNA in ccRCC patients is uncertain. Methods of Cellular Transcriptional Expression Data of ccRCC was obtained from the TCGA website. We retrospectively reviewed lncRNA expression data and survival data from 116 patients with ccRCC from January 2013 to January 2014. Conclusions Based on 160 independently expressed TMB-related lncRNAs, two TMB-related molecular clusters with distinct immune checkpoints expression and immune cell infiltration were found for ccRCC patients, based on 160 largely expressed TMB-related lncRNAs, two TMB-related molecular clusters with distinct immune checkpoints expression, and immune cell infiltration were established for ccRCC patients. In the education cohort, testing cohort, and the TCGA cohort, the area under ROC curve was 0. 16, 0. 775, and 0. 744. More importantly, the predictive results of TMB-related lncRNA signature were validated in an independent group of 116 ccRCC patients at our hospital, which was further supported.

Source link: https://europepmc.org/article/MED/36165528


A pyroptosis-associated signature plays a role in prognosis prediction in clear cell renal cell carcinoma.

Pyoptosis has been considered a type of inflammation-related programmed cell death that plays a role in tumour formation, metastasis, and proliferation of tumour cells, thus modulating tumour prognosis in recent years. Despite this, the expression of pyroptosis-associated genes in RCCs and their association with prognosis is vague. Conclusions and Reports 34 regulators of pyroptosis that were inconsistently expressed between normal kidney and ccRCC tissues were discovered in our study. Following Cox regression with DEGs and LASSO, a 6-gene signature was established, and all ccRCC cases in the cohort from TCGA were classified as an LR or HR group. According to KEGG and GO results, increased immunity and enrichment of genes correlated to immunity in the HR group could have increased longevity and enrichment of genes related to immunity. Conclusions The results of our study show that genes related to pyroptosis play a role in tumor formation and can be used to predict the prognosis of ccRCC.

Source link: https://europepmc.org/article/MED/36163033


High CENPA expression in papillary renal cell carcinoma tissues is associated with poor prognosis.

This work was focused on examining the connection between centromeric protein A gene expression and papillary renal cell carcinoma diagnosis. Methods We obtained results from PRCC trials in TCGA. The correlations of clinicopathological signs with CENPA level were investigated by logistic regression and Wilcoxon rank-sum analysis, respectively. The prognostic value of CENPA was assessed by plotting the receiver operating feature curve and estimating the area under curve. We developed a nomogram in trial cohorts after dividing the total number of patients into the trial cohort and the validation cohort in a ratio of 7:3:1, and used the calibration curve to determine its accuracy in both cohorts. Conclusions CENPA expression in PRCC tissues has risen in comparison to that of healthy counterparts. The ROC curves revealed that CENPA had a unique diagnostic capability for PRCC, and the expression of CENPA would greatly increase the predictive accuracy of pathological TNM stage and clinical stage of PRCC. Poor performance was seen among those without CENPA up-regulation as shown by KM curves, and those with CENPA up-regulation were poor. According to an IHC review, PRCC cases had a higher CENPA positive rate than controls. Conclusion CENPA expression rises in PRCC samples, which suggests poor PRCC survival. CENPA may be a molecular prognostic marker and therapeutic target for PRCC patients.

Source link: https://europepmc.org/article/MED/36163007


Development and validation of a gene model predicting lymph node metastasis and prognosis of oral squamous cell carcinoma based on single-cell and bulk RNA-seq analysis.

Backgrounds Lymph node metastasis can be used to forecast or squamous cell carcinoma patients' survival. This research will investigate the genetic and cellular differences among OSCC with positive and negative LN metastases. Methods We obtained single-cell sequencing and bulk gene expression data from the Cancer Genome Atlas and Gene Expression Omnibus databases, 60 LN-metastasis-related genes were discovered with improved scRNA-seq analysis, and consensus clustering identified three primary molecular subtypes of OSCC. The immune profil of various risk subgroups of the CIBERSORT study revealed the same risk subgroups' immune infiltration profile. Patients in Subtype3 had a tendency for LN metastasis and poorer prognosis. In addition, five biomarkers were selected from the 60 genes to create a 5-gene risk model assessing the risk of LN metastasis. In the low-risk group, there was a reduced risk of LN metastasis and a more prognosis. Conclusion In view of intratumoral heterogeneity, we identified 60 genes associated with LN metastasis of OSCC.

Source link: https://europepmc.org/article/MED/36153671

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions