Survey of genomic and physiological characteristics for survival in lymphoma: The NCI genomic data portal.

Lymphoma represents a myriad collection of neoplasms that impact lymphocytes. This cancer often involves disrupted cytokine, immune surveillance, and gene regulatory signaling, sometimes with expression of Epstein Barr Virus (EBV). We explored mutation patterns for People experiencing Lymphoma (PeL) in the National Cancer Institute (NCI) Genomic Data Commons (GDC), which contains detailed, deidentified genomic data on 86,046 people who have/had cancer with 2,730,388 distinctive mutations in 21,773 genes. The database included information on 536 (PeL), with the primary focal sample being the n = 30 who had complete mutational genomic data. We used correlations, independent samples t-tests, and linear regression to compare PeL demographics and vital status on mutation numbers, BMI, and mutation deleterious score across functional categories of 23 genes. PeL demonstrated varied patterns of mutated genes, consistent with most other cancer types. The primary PeL gene mutations clustered around five functional protein groups: transcriptional regulatory proteins, TNF/NFKB and cell signaling regulators, cytokine signaling proteins, cell cycle regulators, and immunoglobulins. Diagnosis Age, Birth Year, and BMI negatively (P < 0.05) correlated with Days to Death, and cell cycle mutations negatively correlated (P = 0.004) with survival days (R = 0.389). There were commonalities in some PeL for mutations across other cancer types based upon large sequence length, but also for 6 small cell lung cancer genes. Immunoglobulin mutations were prevalent but not for all cases. Research indicates a need for greater personalized genomics and multi-level systems analysis to evaluate facilitators and barriers for lymphoma survival.