AI Article Synopsis

  • Muscle-invasive bladder cancer (MIBC) is a serious global health issue, lacking reliable gene signatures for predicting patient outcomes, which are essential for effective clinical evaluations.
  • The study employed advanced statistical models to identify significant gene signatures and developed a risk prediction model, revealing three key genes linked to MIBC prognosis.
  • Findings showed that stratifying patients by risk levels provided better survival predictions; the high-risk group demonstrated poorer outcomes and had genes associated with cancer pathways, suggesting new potential therapeutic targets for treatment.

Article Abstract

Background: Muscle-invasive bladder cancer (MIBC) is originated in the muscle wall of the bladder, and is the ninth most common malignancy worldwide. However, there are no reliable, accurate and robust gene signatures for MIBC prognosis prediction, which is of the importance in assisting oncologists to make a more accurate evaluation in clinical practice.

Methods: This study used univariable and multivariable Cox regression models to select gene signatures and build risk prediction model, respectively. The t-test and fold change methods were used to perform the differential expression analysis. The hypergeometric test was used to test the enrichment of the differentially expressed genes in GO terms or KEGG pathways.

Results: In the present study, we identified three prognostic genes, , , and , as the best subset of genes for muscle-invasive bladder cancer (MIBC) risk prediction. The validation of this stratification method on two datasets demonstrated that the stratified patients exhibited significant difference in overall survival, and our stratification was superior to three other stratifications. Consistently, the high-risk group exhibited worse prognosis than low-risk group in samples with and without lymph node metastasis, distant metastasis, and radiation treatment. Moreover, the upregulated genes in high-risk MIBC were significantly enriched in several cancer-related pathways. Notably, , a receptor for platelet-derived growth factor of PI3K-Akt signaling pathway, and were identified as two targets of multiple drugs. In addition, the angiogenesis-related genes, as well as two marker genes of M2 macrophage, and , were highly upregulated in high-risk MIBC.

Conclusions: In summary, this study investigated the underlying molecular mechanism and potential therapeutic targets associated with worse prognosis of high-risk MIBC, which could improve our understanding of progression of MIBC and provide new therapeutic strategies for the MIBC patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916460PMC
http://dx.doi.org/10.1186/s12935-019-1056-yDOI Listing

Publication Analysis

Top Keywords

muscle-invasive bladder
12
bladder cancer
12
cancer mibc
8
gene signatures
8
risk prediction
8
worse prognosis
8
high-risk mibc
8
mibc
7
genes
6
systematic analysis
4

Similar Publications

Purpose: To develop a deep learning (DL) model based on primary tumor tissue to predict the lymph node metastasis (LNM) status of muscle invasive bladder cancer (MIBC), while validating the prognostic value of the predicted aiN score in MIBC patients.

Methods: A total of 323 patients from The Cancer Genome Atlas (TCGA) were used as the training and internal validation set, with image features extracted using a visual encoder called UNI. We investigated the ability to predict LNM status while assessing the prognostic value of aiN score.

View Article and Find Full Text PDF

Today's controversies of gain-of-function virological research and mRNA COVID vaccination policies had an antecedent nearly a century ago in an event often referred to as "the Lübeck disaster." From April through September 1930, 77 newborn infants in Lübeck, Germany, died after receiving oral BCG immunizations tainted with active human . The tragedy threatened to end BCG immunizations.

View Article and Find Full Text PDF

Bladder cancer (BC) is a prevalent urinary malignancy and muscle-invasive bladder cancer (MIBC) is particularly aggressive and associated with poor prognosis. One of MIBC features is the nuclear atypia. However, the molecular mechanism underlying MIBC remains unclear.

View Article and Find Full Text PDF

Introduction: Approximately 75% of bladder cancer cases are non-muscle invasive at diagnosis. Drug development for non-muscle invasive bladder cancer (NMIBC) has historically lagged behind that of other malignancies. No treatment has demonstrated the ability to overcome drug resistance that ultimately leads to recurrence and progression.

View Article and Find Full Text PDF

Objective: To evaluate whether the systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), and De-Ritis ratio (DRR) are determinants of progression-free survival (PFS), recurrence-free survival (RFS) and overall survival (OS) in patients aged ≥ 70 years diagnosed with non-muscle invasive bladder cancer (NMIBC).

Method: The study included 173 elderly patients diagnosed with NMIBC between January 2015 and March 2022. The clinical and pathological data of the patients were examined.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!