Article

Signatures Based On Tumor Microenvironment Genes Can Reliably Predict The Prognosis of Laryngeal Cancer Patients

2021-05-24

Abstract excerpt

<h4>Purpose: </h4> To develop a tumor microenvironment (TME) related genes based prognostic model for laryngeal cancer patients risk prediction. <h4>Methods: </h4>: A innovative prognosic model was generated based on TME related genes (760 genes). Based on the model, laryngeal cancer patients were categoried into high and low-risk group. The immune status including immune cell infiltration ratio as well as checkpo...

Topics

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

Identifiers and source

Literature Corpus work: 6d19ad11-41a7-57d5-96bf-f7a886e83a61
DOI: 10.21203/rs.3.rs-396948/v2

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Signatures Based On Tumor Microenvironment Genes Can Reliably Predict The Prognosis of Laryngeal Cancer PatientsDOI 10.21203/rs.3.rs-396948/v2Read

Prognostic value and immunotherapy analysis of immune cell-related genes in laryngeal cancerSemantic proximity Read

Development of an immunogenomics-based prognostic index model of laryngeal squamous cell carcinomaSemantic proximity Read

An immune-related lncRNA pairs signature to identify the prognosis and predict the immune landscape of laryngeal squamous cell carcinomaSemantic proximity Read

Assessment of Immune Status of Laryngeal Squamous Cell Carcinoma Can Predict Prognosis and Guide TreatmentSemantic proximity Read

Prognostic Value of Immune Associated Long Non-Coding RNAs In Laryngeal Squamous Cell CarcinomaSemantic proximity Read

A Signature of Immune-related Gene Pairs (IRGPs) for Risk Stratification and Prognosis of Oral Cancer PatientsSemantic proximity Read

The Prognosis Risk Model Based on Immune-related Genes Is Closely Related to the Prognosis of Oral CancerSemantic proximity Read

Identification of key genes in head and neck squamous cell carcinoma microenvironment based on gene expression profileSemantic proximity Read

Immune related gene signature derived from integrate machine learning algorithm predicts outcomes of HNSC patientsSemantic proximity Read

Identification of key survival genes of the tumor microenvironment and immune infiltration in head and neck squamous cell carcinomaSemantic proximity Read

Tumor-associated macrophages-related gene signature for prediction of prognosis and immunotherapy response in head and neck squamous carcinomasSemantic proximity Read

Exploration and validation of the effects of robust co-expressed immune-related genes on immune infiltration patterns and prognosis in laryngeal cancer.Semantic proximity Read