Combining single-cell sequencing to identify key immune genes and construct the prognostic evaluation model for colon cancer patients

Clin Transl Med. 2021 Jul;11(7):e465. doi: 10.1002/ctm2.465.

Authors

Jiasheng Xu^{1

2}, Siqi Dai¹, Kai Jiang^{1

2}, Qian Xiao¹, Ying Yuan^{2

3}, Kefeng Ding^{1

2}

Affiliations

¹ Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
² Cancer Institute and Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China.
³ Department of Medical Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.

No abstract available

Publication types

Letter

MeSH terms

Algorithms*
Antigens, CD19 / genetics
Antigens, CD19 / metabolism
Area Under Curve
Biomarkers, Tumor / genetics
CD3 Complex / genetics
CD3 Complex / metabolism
Colonic Neoplasms / genetics
Colonic Neoplasms / immunology
Colonic Neoplasms / pathology*
Databases, Genetic
Gene Ontology
Humans
Immune Checkpoint Proteins / genetics*
Interleukins / genetics
Interleukins / metabolism
Minor Histocompatibility Antigens / genetics
Minor Histocompatibility Antigens / metabolism
Prognosis
ROC Curve
Receptors, Interleukin / genetics
Receptors, Interleukin / metabolism
Single-Cell Analysis

Substances

Antigens, CD19
Biomarkers, Tumor
CD19 molecule, human
CD3 Complex
CD3E protein, human
EBI3 protein, human
Immune Checkpoint Proteins
Interleukins
Minor Histocompatibility Antigens
Receptors, Interleukin