Back to search

Article

Identification of stromal microenvironment characteristics and key molecular mining in pancreatic cancer

2022-06-02

Abstract excerpt

<h4>Purpose: </h4> Pancreatic cancer is one of the deadliest cancers worldwide. The extracellular matrix (ECM) microenvironment affects the drug sensitivity and prognosis of pancreatic cancer patients. This study constructed an 8-genes pancreatic ECM scoring (PECMS) model, to classify the ECM features of pancreatic cancer, analyze the impact of ECM features on survival and drug sensitivity, and mine key molecules...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c63c964e-3c6a-5464-9246-67f36ad75092
DOI
10.21203/rs.3.rs-1632849/v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of stromal microenvironment characteristics and key molecular mining in pancreatic cancerDOI 10.21203/rs.3.rs-1632849/v2
Comprehensive characterization of extracellular matrix-related genes in PAAD identified a novel prognostic panel related to clinical outcomes and immune microenvironment: A silico analysis with in vivo and vitro validationSemantic proximity
Establishment of a Prognostic Prediction System Based on Tumor Microenvironment of Pancreatic CancerSemantic proximity
Molecular classification and prognosis study of pancreatic ductal adenocarcinoma through multi-omics integrated clustering analysis.Semantic proximity
An Accurate Prognostic Model and Treatment for Pancreatic Carcinoma Based on the Tumor Immune MicroenvironmentSemantic proximity
Integrative analyses of bulk, single-cell and spatial transcriptomics identified diabetes mellitus-related signature as a prognostic factor in pancreatic adenocarcinomaSemantic proximity
Genomic analysis and filtration of novel prognostic biomarkers based on metabolic and immune subtypes in pancreatic cancerSemantic proximity
Infection with COVID-19 promotes the progression of pancreatic cancer through the PI3K-AKT signaling pathwaySemantic proximity
Bioinformatics-Based Identification of Tumor Immune Invasion- Related prognostic Biomarkers in pancreatic cancerSemantic proximity
Prognostic value of eight immune gene signatures in pancreatic cancer patientsSemantic proximity
Construction of a prognostic model with histone modification-related genes and identification of potential drugs in pancreatic cancerSemantic proximity
Prognostic Value of Drug Targets Predicted using Deep Bioinformatic Analysis of M6A-associated lncRNA-based Pancreatic Cancer Model Characteristics and its Tumour MicroenvironmentSemantic proximity
Prediction of prognosis of Pancreatic adenocarcinoma based on anoikis-related genes and Multi-omics VerificationSemantic proximity
Select a neighboring publication to make it the new centre.