TAILIEUCHUNG - The identification of gene signatures in patients with extranodal NK/T-cell lymphoma from a pair of twins

There is no unified treatment standard for patients with extranodal NK/T-cell lymphoma (ENKTL). Cancer neoantigens are the result of somatic mutations and cancer-specific. Increased number of somatic mutations are associated with anti-cancer effects. | Wang et al. BMC Cancer 2021 21 1303 https s12885-021-09023-9 RESEARCH Open Access The identification of gene signatures in patients with extranodal NK T-cell lymphoma from a pair of twins Yang Wang1 Huaicheng Tan1 Ting Yu2 Xuelei Ma3 4 Xiaoxuan Chen5 Fangqi Jing5 Liqun Zou6 and Huashan Shi3 4 Abstract Background There is no unified treatment standard for patients with extranodal NK T-cell lymphoma ENKTL . Cancer neoantigens are the result of somatic mutations and cancer-specific. Increased number of somatic mutations are associated with anti-cancer effects. Screening out ENKTL-specific neoantigens on the surface of cancer cells relies on the understanding of ENKTL mutation patterns. Hence it is imperative to identify ENKTL-specific genes for ENKTL diagnosis the discovery of tumor-specific neoantigens and the development of novel therapeutic strategies. We investigated the gene signatures of ENKTL patients. Methods We collected the peripheral blood of a pair of twins for sequencing to identify unique variant genes. One of the twins is diagnosed with ENKTL. Seventy samples were analyzed by Robust Multi-array Analysis RMA . Two methods elastic net and Support Vector Machine-Recursive Feature Elimination were used to select unique genes. Next we performed functional enrichment analysis and pathway enrichment analysis. Then we conducted single- sample gene set enrichment analysis of immune infiltration and validated the expression of the screened markers with limma packages. Results We screened out 126 unique variant genes. Among them 11 unique genes were selected by the combina- tion of elastic net and Support Vector Machine-Recursive Feature Elimination. Subsequently GO and KEGG analysis indicated the biological function of identified unique genes. GSEA indicated five immunity-related pathways with high signature scores. In patients with ENKTL and the group with high signature scores a proportion of functional immune cells are all of great .

• Y khoa - Dược
• BMC Cancer
• Support vector machine recursive feature elimination
• Machine learning algorithms
• Single sample gene set enrichment analysis
• Immune infiltration
• Cancer patient pathways
• Colorectal cancer
• Lung cancer
• Breast cancer
• Prostate cancer
• Ovarian cancer
• Cancer detection
• Ovarian cancer symptoms
• Ovarian cancer signs
• Ovarian cancer tests
• Cancer biomarkers
• Pediatric cancer
• Familial cancer predisposition
• Hereditary cancer syndrome
• Genetic cancer susceptibility
• Advanced cancer
• Biliary tract cancer
• Multimodal intervention
• Pancreatic cancer
• Physical activity
• Breast cancer screening
• Familial breast cancer
• Young breast cancer survivors
• High risk relatives
• Randomized trial
• Childhood cancer
• Childhood cancer survivor
• Thyroid cancer screening
• Secondary cancer
• Cancer screening
• Community awareness
• Cancer education
• Cervical cancer
• Prior cancer
• Cancer survivors
• Cancer registry
• Second cancer
• Surgical oncology
• Cancer imaging
• Radiation oncologists
• Medical oncologists
• Oesophagogastric cancer
• Liver cancer
• Hepatobiliary cancer
• Multidisciplinary rehabilitation
• EGFR mutation
• Family history of cancer
• Inherited susceptibility
• Cancer predisposition genes
• Lung cancer aetiology
• Cancer stem cells
• Oct4 overexpressing lung cancer
• Human lung cancer xenograft model
• Disease free survivals
• Cancer hallmarks
• Cancer genesis
• Defiant disease
• Mutational signature
• Cancer diagnosis
• Cancer genomics
• Molecular medicine
• Whole genome sequencing
• Cancer susceptibility gene
• Breast cancer prognosis
• Next generation sequencing
• Quality of care
• Quality indicators
• Shifting cancer care
• German cancer society
• Colorectal cancer screening
• Stomach cancer screening
• Lung cancer survivor
• Physician recommendation
• Total number of lymph nodes
• Lymph node ratio
• Left colon cancer
• Right colon cancer
• Overall survival
• Cumulative incidence
• Esophageal cancer
• Head and neck cancer
• Metachronous cancer
• Young onset
• Reproductive cancer
• Risk factor
• Early detection of cancer
• Gastric cancer incidence
• Population based specialized registry
• Gastric cancer survival
• Gastric cancer clinical characteristics
• Gastric cancer pathological characteristics
• Lung Cancer Screening
• Racial disparities
• Lung Cancer diagnosis
• Screening adherence
• Second primary colorectal cancer
• Standardized incidence ratio
• Left sided colon cancer
• Right sided colon cancer
• Quality of cancer care
• Population based study