Article

Single cell sequencing combined with transcriptome sequencing to build a prognostic model for colorectal cancer

2025-06-23

Abstract excerpt

<title>Abstract</title> <p><bold>Introduction: </bold>Colorectal cancer (CRC) is a ubiquitous malignant tumor, ranking third in the global incidence and second in mortality. Despite advancements in screening techniques like colonoscopies, the lack of trustworthy biomarkers makes it difficult to diagnose CRC accurately. The objective of this study is to construct a prognostic risk model of CRC for accurate predict...

Topics

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

Identifiers and source

Literature Corpus work: 6b2af288-d317-5d1f-b66e-323d17d478a6
DOI: 10.21203/rs.3.rs-6455265/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Single cell sequencing combined with transcriptome sequencing to build a prognostic model for colorectal cancerDOI 10.21203/rs.3.rs-6455265/v1Read

Establishing and validating a prognostic model for colorectal cancer patients by integrating data from single-cell RNA sequencing and bulk RNA sequencingSemantic proximity Read

A novel prognostic model for colorectal cancer based on epithelial cell marker genes identified and validated by combining Single-Cell and Bulk RNA- SequencingSemantic proximity Read

Integrated single-cell and bulk RNA-seq for constructing a prognostic risk model of immune-related genes in colorectal cancerSemantic proximity Read

Colon Cancer Classification and Prognosis Prediction Based on Genomics Multi-featuresSemantic proximity Read

Research progress of colorectal cancer in genomic and transcriptomic at multi-levelSemantic proximity Read

Integration of single-cell sequencing and bulk RNA-seq to identify and develop a prognostic signature related to colorectal cancer stem cellsSemantic proximity Read

Development of a metastasis-related genes prognostic model for colorectal cancerSemantic proximity Read

Constructing prognostic models for colorectal cancer through dynamic profiling of tumor-associated neutrophils via single-cell and bulk RNA sequencingSemantic proximity Read

A novel gene signature for predicting outcome in colorectal cancer patients based on tumor cell-endothelial cell interaction via single-cell sequencing and machine learningSemantic proximity Read

Identification of a novel T cell-related signature to predict prognosis in colorectal cancer via integrating single-cell and bulk RNA sequencingSemantic proximity Read

Prediction and identification of immune genes related to the prognosis of patients with colon adenocarcinoma and its mechanismsSemantic proximity Read

Using single cell sequencing to explore the difference in tumor- associated macrophages between left and right colon cancer and evaluate the prognosis of patientSemantic proximity Read