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A genomic mutation signature predicts the clinical outcomes of immunotherapy and characterizes immunophenotypes in gastrointestinal cancer
- Source :
- npj Precision Oncology, Vol 5, Iss 1, Pp 1-9 (2021), NPJ Precision Oncology
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- The association between genetic variations and immunotherapy benefit has been widely recognized, while such evidence in gastrointestinal cancer remains limited. We analyzed the genomic profile of 227 immunotherapeutic gastrointestinal cancer patients treated with immunotherapy, from the Memorial Sloan Kettering (MSK) Cancer Center cohort. A gastrointestinal immune prognostic signature (GIPS) was constructed using LASSO Cox regression. Based on this signature, patients were classified into two subgroups with distinctive prognoses (p N = 54) and Peking University Cancer Hospital cohort (N = 92). Multivariate analysis revealed that the GIPS was an independent prognostic biomarker. Notably, the GIPS-high tumor was indicative of a T-cell-inflamed phenotype and immune activation. The findings demonstrated that GIPS was a powerful predictor of immunotherapeutic survival in gastrointestinal cancer and may serve as a potential biomarker guiding immunotherapy treatment decisions.
- Subjects :
- Cancer microenvironment
0301 basic medicine
Oncology
Cancer Research
medicine.medical_specialty
endocrine system
Multivariate analysis
medicine.medical_treatment
Article
Tumour biomarkers
Gastrointestinal cancer
03 medical and health sciences
0302 clinical medicine
Immune system
Internal medicine
Medicine
RC254-282
business.industry
Proportional hazards model
Cancer
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Immunotherapy
medicine.disease
030104 developmental biology
030220 oncology & carcinogenesis
Cohort
Genomic Profile
business
hormones, hormone substitutes, and hormone antagonists
Subjects
Details
- Language :
- English
- Volume :
- 5
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- npj Precision Oncology
- Accession number :
- edsair.doi.dedup.....0c167e10029eb5d6b59cf94285a14eaa