An immune checkpoint score system for prognostic evaluation and adjuvant chemotherapy selection in gastric cancer.
Where this comes from
- Record sourced from PubMed, PMID 33311518.
- Also identified by DOI 10.1038/s41467-020-20260-7 and PMC identifier 7732987.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Immunosuppressive molecules are extremely valuable prognostic biomarkers across different cancer types. However, the diversity of different immunosuppressive molecules makes it very difficult to accurately predict clinical outcomes based only on a single immunosuppressive molecule. Here, we establish a comprehensive immune scoring system (ISS<sub>GC</sub>) based on 6 immunosuppressive ligands (NECTIN2, CEACAM1, HMGB1, SIGLEC6, CD44, and CD155) using the LASSO method to improve prognostic accuracy and provide an additional selection strategy for adjuvant chemotherapy of gastric cancer (GC). The results show that ISS<sub>GC</sub> is an independent prognostic factor and a supplement of TNM stage for GC patients, and it can improve their prognosis prediction accuracy; in addition, it can distinguish GC patients with better prognosis from those with high prognostic nutritional index score; furthermore, ISS<sub>GC</sub> can also be used as a tool to select GC patients who would benefit from adjuvant chemotherapy independent of their TNM stages, MSI status and EBV status.
Medical subject headings
- Biomarkers, Tumor
- Chemotherapy, Adjuvant
- HMGB1 Protein
- Stomach Neoplasms